GATE papers

Which paper to cite for ..

GATE:

• H. Cunningham, V. Tablan, A. Roberts, K. Bontcheva (2013) Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics. PLoS Comput Biol 9(2): e1002854. doi:10.1371/journal.pcbi.1002854 — http://tinyurl.com/gate-life-sci/

ANNIE (for TwitIE — version of ANNIE for social media — see below):

• H. Cunningham, D. Maynard, K. Bontcheva, V. Tablan. GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL'02). Philadelphia, July 2002. PDF. BibTeX.

GATE Cloud:

• V. Tablan, I. Roberts, H. Cunningham, and K. Bontcheva. GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud. Philosophical Transactions of the Royal Society A, 371(1983), 2013 doi:10.1098/rsta.2012.0071. A pre-print.

GATE Mímir:

• V. Tablan, K. Bontcheva, I. Roberts, and H. Cunningham. Mímir: An open-source semantic search framework for interactive information seeking and discovery. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 2014. doi:10.1016/j.websem.2014.10.002. pre-print BibTeX.

TwitIE:

• K. Bontcheva, L. Derczynski, A. Funk, M.A. Greenwood, D. Maynard, N. Aswani. TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2013). PDF, Download TwitIE

Social media analysis tools in GATE:

• D. Maynard, I. Roberts, M. A. Greenwood, D. Rout and K. Bontcheva. A Framework for Real-time Semantic Social Media Analysis. Web Semantics: Science, Services and Agents on the World Wide Web, 2017 (in press). https://doi.org/10.1016/j.websem.2017.05.002, pre-print

Ontology features in GATE:

• K. Bontcheva, V. Tablan, D. Maynard, H. Cunningham. Evolving GATE to Meet New Challenges in Language Engineering. Natural Language Engineering. 10 (3/4), pp. 349-373. 2004. Pre-print. BibTeX.

GATE Teamware:

• K. Bontcheva, H. Cunningham, I. Roberts, A. Roberts, V. Tablan, N. Aswani, G. Gorrell. Teamware: A Web-based, Collaborative Text Annotation Framework. Language Resources and Evaluation. Volume 47, Issue 4, December 2013. PDF

Bio-YODIE:

• G. Gorrell, X. Song and A. Roberts. Bio-YODIE: A Named Entity Linking System for Biomedical Text. arXiv:1811.04860, 2018 arXiv

2025

Journal papers

• Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard (2025) Cross-modal augmentation for few-shot multimodal fake news detection. Engineering Applications of Artificial Intelligence, 142, 109931. https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906

• J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2025) Weakly supervised veracity classification with LLM-predicted credibility signals. EPJ Data Science 14.1: 16. https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html

• G.Rehm, S Piperidis, K Bontcheva, K Choukri, J Hajic (2025) Special issue on language technology platforms. Language Resources and Evaluation, 1-4. https://link.springer.com/article/10.1007/s10579-025-09842-3

• F. Haouari, C. Scarton, N. Faggiani, N. Nikolaidis, B. Kotseva, I. A. Farha, J. Linge & K. Bontcheva (2025) UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections Proceedings of the International AAAI Conference on Web and Social Media 19.2477-2495 https://ojs.aaai.org/index.php/ICWSM/article/view/35950

• W. He, T. K. Vieira, M. Garcia, C. Scarton, M. Idiart, A. Villavicencio (2025) Investigating Idiomaticity in Word Representations Computational Linguistics, 1-51 https://direct.mit.edu/coli/article/doi/10.1162/coli_a_00546/125289

Conference papers

• J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2025) A cross-domain study of the use of persuasion techniques in online disinformation. Companion Proceedings of the ACM on Web Conference 2025. https://dl.acm.org/doi/abs/10.1145/3701716.3715535

• O. Cook, Y. Mu, X. Yang, X. Song, K. Bontcheva (2025) A dataset for analysing news framing in Chinese media. In Proceedings of the International AAAI Conference on Web and Social Media. https://ojs.aaai.org/index.php/ICWSM/article/view/35943

• I. Singh, M. Colom, K. Bontcheva (2025) A Comparative Analysis of OCR Models on Diverse Datasets: Insights from Memes and Hiertext Dataset In Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 2025, pp. 1343-1353. https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html

Pre-print

• I. Singh, C. Scarton & K. Bontcheva (2025) GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification. https://arxiv.org/pdf/2505.22867

• M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2025) Hostility Detection in UK Politics: A Dataset on Online Abuse Targeting MPs https://arxiv.org/abs/2412.04046

• J. Vasilakes, C. Scarton and Z. Zhao (2025) Exploring Vision Language Models for Multimodal and Multilingual Stance Detection https://arxiv.org/abs/2501.17654

• T. Goldsack, C. Scarton, C. Lin (2025) Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond https://arxiv.org/abs/2501.05224

• O. Cook, J. Vasilakes, I. Roberts & X. Song (2025) Efficient Annotator Reliability Assessment with EffiARA https://arxiv.org/pdf/2504.00589

2024

Journal papers

• Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. Expert Systems with Applications (Elsevier), v243, Article 122791. https://www.sciencedirect.com/science/article/pii/S0957417423032931

• Olesya Razuvayevskaya, Ben Wu, João A. Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. PLoS ONE 19 (5), e0301738. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738

• M.E. Bakir, T. Farrell, K. Bontcheva (2024) Abuse in the time of COVID-19: the effects of Brexit, gender and partisanship Online Information Review 48 (5), 1045-1062 https://www.emerald.com/insight/content/doi/10.1108/oir-07-2022-0392/full/html

• F. A. Manchego, C. Scarton and L. Specia (2024) Corpus-Based Sentence Simplification Computational Linguistics https://submissions.cljournal.org/index.php/cljournal/article/view/1311

• M. V. V. Berto, B. L. Freitas, C. Scarton, J. A. Machado-Neto and T.A. Almeida (2024) Accelerating discoveries in medicine using distributed vector representations of words Expert Systems with Applications 250, 123566 https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317

• S. Vincent, R. Sumner, A. Dowek, C. Prescott, E. Preston, C. Bayliss, C. Oakley, C. Scarton (2024) Reference-less Analysis of Context Specificity in Translation with Personalised Language Models In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) https://aclanthology.org/2024.lrec-main.1202/

• S. E. Leal, M. S. Duran, C. E. Scarton, N. S. Hartmann and S. M. Aluísio (2024) NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese Language Resources and Evaluation 58 (1), 73-110 https://link.springer.com/article/10.1007/s10579-023-09693-w

Conference papers

• J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2024) EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) https://dl.acm.org/doi/abs/10.1145/3627673.3679167

• Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song (2024) Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024 https://aclanthology.org/2024.lrec-main.887.pdf

• Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song (2024) Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024 https://aclanthology.org/2024.lrec-main.594/

• Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras (2024) Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC-COLING 2024 https://aclanthology.org/2024.lrec-main.595.pdf

• Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC-COLING 2024 https://aclanthology.org/2024.lrec-main.1055/

• Yue Li and Carolina Scarton (2024) Can We Identify Stance without Target Arguments? A Study for Rumour Stance Classification. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. ELRA and ICCL. https://aclanthology.org/2024.lrec-main.253/

• W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference. In Proceedings of The 4th International Conference on Natural Language Processing for Digital Humanities – NLP4DH 2024. https://aclanthology.org/2024.nlp4dh-1.43.pdf

• A. Zareie, K. Bontcheva, C. Scarton (2024) A Lightweight Approach for User and Keyword Classification in Controversial Topics in Aiello, L.M., Chakraborty, T., Gaito, S. (eds) Social Networks Analysis and Mining. ASONAM 2024. Lecture Notes in Computer Science, vol 15212. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-78538-2_21

• C. Grimshaw, K. Bontcheva, X. Song (2024) Sheffieldveraai at SemEval-2024 Task 4: Prompting and fine-tuning a large vision-language model for binary classification of persuasion techniques in memes In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) pp 2051-2056 https://aclanthology.org/2024.semeval-1.278/

• X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows In Proceedings of the Ninth Conference on Machine Translation, 1004-1010 https://aclanthology.org/2024.wmt-1.101/

• S. Vincent, C. Prescott, C. Bayliss, C. Oakley, C. Scarton (2024) A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1) 561-572) https://aclanthology.org/2024.eamt-1.46/

• C. Scarton, C. Prescott, C. Bayliss, C. Oakley, J. Wright, S. Wrigley, X. Song, E. Gow-Smith, M. L. Forcada, H. Moniz (2024) Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) https://aclanthology.org/2024.eamt-2.0.pdf

• B. Spillane, C. Scarton, R. Moro, P. Ivanov, A. Tagarev, J. Simko, J. Simko, I. A. Farha, Gary Munnelly, F. Uhlárik and Freddy Heppell (2024) Multilinguality in the VIGILANT project In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) 41-42. https://aclanthology.org/2024.eamt-2.21/

• A. Barrón-Cedeño, F. Alam, J. M. Struß, P. Nakov, T. Chakraborty, T. Elsayed, P. Przybyła, T. Caselli, G. Da San Martino, F. Haouari, M. Hasanain, C. Li, J. Piskorski, F. Ruggeri, X. Song and R. Suwaileh (2024) Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness In Goeuriot, L., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2024. Lecture Notes in Computer Science, vol 14959. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-71908-0_2#

• P. Przybyła, B. Wu, A. Shvets, Y. Mu, K. C. Sheang, X. Song and H. Saggion (2024) Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE) Working Notes of CLEF 2024 https://ceur-ws.org/Vol-3740/paper-28.pdf

• A. Stolfo, B. Wu, W. Gurnee, Y. Belinkov, X. Song, M. Sachan, N. Nanda (2024) Confidence Regulation Neurons in Language Models In NeurIPS 2024 https://proceedings.neurips.cc/paper_files/paper/2024/file/e21955c93dede886af1d0d362c756757-Paper-Conference.pdf

• W. He, M. Idiart, C. Scarton, A. Villavicencio (2024) Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss https://aclanthology.org/2024.findings-acl.741.pdf

• Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) ATLAS: Improving Lay Summarisation with Attribute-based Control In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) https://aclanthology.org/2024.acl-short.32/

• J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024) ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) 39-40 https://aclanthology.org/2024.eamt-2.20/

• E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio (2024) Word Boundary Information Isn't Useful for Encoder Language Models In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024) pp118–135 https://aclanthology.org/2024.repl4nlp-1.10/

• O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M. Szert and X. Song (2024) Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media https://aclanthology.org/2025.findings-naacl.185.pdf

• Y. Mu, M. Jin, X. Song, N. Aletras (2024) Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing pp 12477–12492 https://aclanthology.org/2024.emnlp-main.694/

• A. Hughes, X. Song (2024) Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) pp 8580–8593 https://aclanthology.org/2024.lrec-main.753/

• T. Goldsack, C. Scarton, M. Shardlow & C. Lin (2024) Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pp. 122-131 https://aclanthology.org/2024.bionlp-1.10/

Pre-print

• F. Heppell, M. E. Bakir, K. Bontcheva (2024) Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale https://arxiv.org/abs/2402.08467

• Y. Mu, P. Bai, K. Bontcheva, X. Song. (2024) Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling https://arxiv.org/pdf/2405.00611

• M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) Hostility Detection in UK Politics: A Dataset on Online Abuse Targeting MPs https://arxiv.org/abs/2412.04046

• I. Srba, O. Razuvayevskaya, J. A. Leite, R. Moro, I. B. Schlicht, S. Tonelli, F. M. García, S. B. Lottmann, D. Teyssou, V. Porcellini, C. Scarton, K. Bontcheva, M. Bielikova (2024) A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models https://arxiv.org/abs/2410.21360

• M. Pandya, N. S. Moosavi, D. Maynard (2024) Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training https://arxiv.org/abs/2412.04025

• Y. Li, Z. Zhao and C. Scarton (2024) Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models https://arxiv.org/abs/2410.19195

Other

• J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024) The women journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED AND LABELED SATAN International Center for Journalists. https://www.icfj.org/sites/default/files/2024-05/ICFJ_BigData_SouthAfrica_DailyMaverick.pdf

• J. Posetti, D. Maynard, I. Miranda and N. Shabbir (2024). CARMEN ARISTEGUI: A target of gendered disinformation, censorship & surveillance in a climate of impunity International Center for Journalists. https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf

• J. Posetti, D. Maynard, A. al-Kaisy, Z. Harb and N. Shabbir (2024). GHADA OUEISS: A journalist at the epicenter of online risk amid weaponized geopolitical threats. International Center for Journalists. https://www.icfj.org/sites/default/files/2023-04/Ghada_ICFJ_Case%20Study.pdf

• K.Bontcheva, S. Papadopoulous, F. Tsalakanidou, R. Gallotti, L. Dutkiewicz, N. Krack, D. Teyssou, F. S. Nucci, J.Spangenberg, I. Srba, P. Aichroth, L. Cuccovillo, L. Verdoliva (2024) Generative AI and disinformation: recent advances, challenges, and opportunities https://edmo.eu/wp-content/uploads/2023/12/Generative-AI-and-Disinformation_-White-Paper-v8.pdf

2023

Journal papers

• I. Singh, C. Scarton, K. Bontcheva (2023) UTDRM: unsupervised method for training debunked-narrative retrieval models EPJ Data Science 12 (1), 59 https://epjds.epj.org/articles/epjdata/abs/2023/01/13688_2023_Article_437/13688_2023_Article_437.html

• Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard (2023) Similarity-Aware Multimodal Prompt Learning for Fake News Detection. Journal of Information Sciences (pre-print) https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319

• T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2023) Domain-Driven and Discourse-Guided Scientific Summarisation European Conference on Information Retrieval, 361-376 https://link.springer.com/chapter/10.1007/978-3-031-28244-7_23

• J.A. Leite, O. Razuvayevskaya, K. Bontcheva, C. Scarton (2023) Detecting misinformation with LLM-predicted credibility signals and weak supervision EPJ Data Science v14, 16 https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-025-00534-0

Conference papers

• Freddy Heppell, Kalina Bontcheva, Carolina Scarton (2023) Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, pages 5729–5741, Singapore. Association for Computational Linguistics. https://aclanthology.org/2023.emnlp-main.349/

• M. Canute, M. Jin, H. Holtzclaw, A. Lusoli, P. Adams, M. Pandya, M. Taboada, D. Maynard, and W. H. K. Chun (2023) Dimensions of Online Conflict: Towards Modeling Agonism In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 12194–12209, Singapore. Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.816/

• B. Wu, Y. Li, Y. Mu, C. Scarton, K. Bontcheva and X. Song (2023) Don’t waste a single annotation: improving single-label classifiers through soft labels In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 5347–5355, Singapore. Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.355/

• B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. Bontcheva, X. Song (2023) SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1995–2008, Toronto, Canada. Association for Computational Linguistics. https://aclanthology.org/2023.semeval-1.275/

• Y. Mu, K. Bontcheva and N. Aletras (2023) "It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits" In Findings of the Association for Computational Linguistics: EACL 2023 https://aclanthology.org/2023.findings-eacl.55/

• Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song (2023) "VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter" In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2023) In Proceedings of the Seventeenth International AAAI Conference on Web and Social Media (ICWSM2023)1052 https://ojs.aaai.org/index.php/ICWSM/article/view/22213/21992

• Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song (2023) A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. ICWSM TrueHealth Workshop https://workshop-proceedings.icwsm.org/pdf/2023_45.pdf

• D. Wilby, T. Karmakharm, I. Roberts, X. Song, K. Bontcheva (2023) GATE Teamware 2: An open-source tool for collaborative document classification annotation In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations https://aclanthology.org/2023.eacl-demo.17.pdf

• D. Maynard (2023) Towards an Early Warning System for Online and Offline Violence In Proceedings of the 4th Conference on Language, Data and Knowledge https://aclanthology.org/2023.ldk-1.1.pdf

• T. Goldsack, Z. Luo, Q. Xie, C. Scarton, M. Shardlow, S. Ananiadou, C. Lin (2023) BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 468–477, Toronto, Canada. Association for Computational Linguistics. https://aclanthology.org/2023.bionlp-1.44/

• M. Nurminen, J. Brenner, M. Koponen, S. Latomaa, M. Mikhailov, F. Schierl, T. Ranasinghe, E. Vanmassenhove, S. Alvarez-Vidal, N. Aranberri, M. Nunziatini, C. Parra Escartín, M. L. Forcada, M. Popović, C. Scarton, H. Moniz (2023) Proceedings of the 24th Annual Conference of the European Association for Machine Translation In Proceedings of the 24th Annual Conference of the European Association for Machine Translation https://aclanthology.org/2023.eamt-1.0.pdf

• T. Liang, Y. Mu, S. Kim, D. L. K. Kuate, J. Lang, R. Vos, X. Song (2023) Classification-Aware Neural Topic Model Combined With Interpretable Analysis-For Conflict Classification In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (pp. 666-672) In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing https://aclanthology.org/2023.ranlp-1.72/

• Y. Mu, X. Song, K. Bontcheva, N. Aletras (2023) Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) https://aclanthology.org/2024.lrec-main.595/

• S. Vincent, R. Flynn, C. Scarton (2023) MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation Findings of ACL https://aclanthology.org/2023.findings-acl.521.pdf

• T. Goldsack, Z. Zhang, C. Tang, C. Scarton, C. Lin (2023) Enhancing Biomedical Lay Summarisation with External Knowledge Graphs In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing pp. 8016–8032 https://aclanthology.org/2023.emnlp-main.498/

• J.A. Leite, C. Scarton and D. F. Silva (2023) Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks https://aclanthology.org/2023.ranlp-1.68.pdf

• B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. Bontcheva and X. Song (2023) Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification https://aclanthology.org/2023.semeval-1.275/

Pre-print

• M. Jin, Y. Mu, D. Maynard, K. Bontcheva (2023) Examining Temporal Bias in Abusive Language Detection https://arxiv.org/abs/2309.14146

• I. Singh, C. Scarton, X. Song & K. Bontcheva (2023) Finding already debunked narratives via multistage retrieval: enabling cross-lingual, cross-dataset and zero-shot learning https://eprints.whiterose.ac.uk/id/eprint/223245/

Other

• J. Posetti, D. Maynard and N. Shabbir (2023) Guidelines for Monitoring Online Violence Against Female Journalists OSCE. https://www.osce.org/representative-on-freedom-of-media/554098

• I. Singh, C. Scarton, X. Song, K. Bontcheva (2023) Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking https://arxiv.org/abs/2308.05680

• K. P. Kiely, R. Margova, S. Gargova, M. Dobreva, T. Gandova, T. Stefanova, V. Kireva, K. Bontcheva (2023) Evaluating VLOP and VLOSE Implementation of the Strengthened EU Code of Practice on Disinformation in Bulgaria https://edmo.eu/wp-content/uploads/2023/05/Evaluating-the-Revised-EU-Code-of-Practice-on-Disinformation-in-BulgariaFINAL.pdf

• S. Vincent, R. Sumner, A. Dowek, C. Blundell, E. Preston, C. Bayliss, C. Oakley, C. Scarton (2023) Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations https://openreview.net/forum?id=dFqiCR7df4

• Y. Li, C. Scarton (2023) Evaluating the Role of Target Arguments in Rumour Stance Classification https://openreview.net/forum?id=wLy9umlDFq

• A. Korda, M. Heide, A. Nag, V. N. Trulley, H. V. Rogg, M. Avram, S. Eickhoff, K. Jauch-Chara, K. Wehkamp, X. Song et al. (2023) Suicide prediction with natural language processing of electronic health records https://www.medrxiv.org/content/10.1101/2023.09.28.23296268v1

• A. Robinson, W. Thorne, B. P. Wu, A. Pandor, M. Essat, M. Stevenson, X. Song (2023) Bio-sieve: exploring instruction tuning large language models for systematic review automation https://arxiv.org/abs/2308.06610

Book chapter

• D. Maynard, J. Wright, M. A. Greenwood, K. Bontcheva (2023) Language Report English In European Language Equality: A Strategic Agenda for Digital Language Equality, Springer International Publishing pp127-130 https://link.springer.com/content/pdf/10.1007/978-3-031-28819-7_13.pdf

2022

Journal papers

• Z. Zhang, X. Song (2022) An exploratory study on utilising the web of linked data for product data mining SN Computer Science 4 (1), 15 https://link.springer.com/article/10.1007/s42979-022-01415-3

Conference papers

• Yida Mu, Pu Niu, and Nikolaos Aletras (2022) "Identifying and characterizing active citizens who refute misinformation in social media." In 14th ACM Web Science Conference 2022, pp. 401-410 https://arxiv.org/abs/2204.10080

• Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton (2022) "Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation" In Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings, pp. 128-143. Cham: Springer International Publishing, 2022. PDF Dataset

• Iknoor Singh, Yue Li, Melissa Thong, and Carolina Scarton (2022) GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1121–1128, Seattle, United States. Association for Computational Linguistics. PDF

• T. A. F. Green, D. Maynard and C. Lin (2022) Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions In Proceedings of the Thirteenth Language Resources and Evaluation Conference https://aclanthology.org/2022.lrec-1.128/

• H. Moniz, L. Macken, A. Rufener, L. Barrault, M. R. Costa-jussà, C. Declercq, M. Koponen, E. Kemp, S. Pilos, M. L. Forcada, C. Scarton, J. Van Den Bogaert, J. Daems, A. Tezcan, B. Vanroy, M. Fonteyne (2022) Proceedings of the 23rd Annual Conference of the European Association for Machine Translation In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation https://aclanthology.org/2022.eamt-1.0.pdf

• V. Pinheiro, P. Gamallo, R. Amaro, C. Scarton, F. Batista, D. Silva, C. Magro and H. Pinto (2022) Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings https://books.google.co.uk/books?hl=en&lr=&id=Df9kEAAAQBAJ&oi=fnd&pg=PR5&dq=info:A7Rt7ZJNx6UJ:scholar.google.com&ots=UHo8B8cP9p&sig=WJPnXjpvogzcn_HYaYcx1z40zJ0&redir_esc=y#v=onepage&q&f=false

• Z. Zhao, G. Chrysostomou, K. Bontcheva, N. Aletras (2022) On the impact of temporal concept drift on model explanations In Findings of the Association for Computational Linguistics: EMNLP 2022 pp.4039–4054 https://aclanthology.org/2022.findings-emnlp.298/

• Y. Li, C. Scarton, X. Song, K. Bontcheva (2022) Classifying COVID-19 vaccine narratives In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing pp.648–657 https://aclanthology.org/2023.ranlp-1.70/

• T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2022) Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing pp. 10589–10604 https://aclanthology.org/2022.emnlp-main.724/

• I. Singh, Y. Li, M. Thong and C. Scarton (2022) GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) pp. 1121–1128 https://aclanthology.org/2022.semeval-1.158/

• D. Phelps, X. R. Fan, E. Gow-Smith, H. T. Madabushi, C. Scarton and A. Villavicencio (2022) Sample Efficient Approaches for Idiomaticity Detection In Proceedings of the 18th Workshop on Multiword Expressions @LREC2022 pp. 105–111 https://aclanthology.org/2022.mwe-1.15/

• S. T. Vincent, L. Barrault and C. Scarton (2022) Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022 In Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022) pp. 341–350 https://aclanthology.org/2022.iwslt-1.31/

• S. T. Vincent, L. Barrault and C. Scarton (2022) Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation pp. 121–130 https://aclanthology.org/2022.eamt-1.15/

• H. T. Madabushi, E. Gow-Smith, M. Garcia, C. Scarton, M. Idiart, A. Villavicencio (2022) SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) pp. 107–121 https://aclanthology.org/2022.semeval-1.13/

• E. Gow-Smith, H. T. Madabushi, C. Scarton, A. Villavicencio (2022) Improving Tokenisation by Alternative Treatment of Spaces In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing pp. 11430–11443 https://aclanthology.org/2022.emnlp-main.786/

Book chapters

• Karen Jones, Diana Maynard, and Flurina Wartmann (2022) "Best Practice for Forensic Fishing: Combining Text Processing with an Environmental History View of Historic Travel Writing in Loch Lomond, Scotland." In Purves, Ross S., et al. "Interdisciplinary Perspectives on Environmental Narratives." Unlocking Environmental Narratives: Towards Understanding Human Environment Interactions through Computational Text Analysis (2022): 17. PDF

• G. Rehm, K. Marheinecke, S. Hegele, S. Piperidis, K. Bontcheva, J. Hajič, K. Choukri, A. Vasiļjevs, G. Backfried, K. Prinz, J. M. Gómez-Pérez, U. Germann (2022) Sustaining the European Language Grid: Towards the ELG Legal Entity European Language Grid: A Language Technology Platform for Multilingual Europe pp233 - 254, Springer International Publishing PDF from oapen.org

Other

• M. Alam, G. Fletcher, A. Isaac, A. Hogan, D. Maynard, H. Paulheim, H. Sack, E. Simperl, L. Stork, M. van Erp and H. Takeda (2022) 5.6 Bias in Knowledge Graph Systems https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume12/issue09/22372/DagRep.12.9.60/DagRep.12.9.60.pdf#page=47

2021

Journal papers

• M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. Ibañez-Martín et al. (2021) Using Natural Language Processing and Artificial Intelligence to explore the nutrition and sustainability of recipes and food Frontiers in Artificial Intelligence 2021. doi: 10.3389/frai.2020.621577 https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full

• X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva (2021) "Classification aware neural topic model for COVID-19 disinformation categorisation" PloS one 16, no. 2 (2021): e0247086. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086

• N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie et al. (2021) "Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK" BMJ open 11, no. 3 (2021): e042274 https://bmjopen.bmj.com/content/11/3/e042274

• I. Singh, C. Scarton, and K. Bontcheva (2021) "Multistage BiCross encoder for multilingual access to COVID-19 health information." Plos one 16, no. 9 (2021): e0256874. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256874

• J. Posetti, K. Bontcheva (2021) Infodemic: disinformation and media literacy in the context of COVID-19 Internet Sectoral Overview 3 (13), 1-21 https://nic.br/media/docs/publicacoes/6/20210923161126/internet_sectoral_overview_year-13_n3_infodemic.pdf

• F. Alva-Manchego, C. Scarton and L. Specia (2021) The (Un) Suitability of Automatic Evaluation Metrics for Text Simplification Computational Linguistics 47 (4), 861-889 https://direct.mit.edu/coli/article/47/4/861/106930/The-Un-Suitability-of-Automatic-Evaluation-Metrics

• C. Scarton, Y. Li (2021) Cross-lingual Rumour Stance Classification: a First Study with BERT and Machine Translation TTO, 50-59 https://truthandtrustonline.com/wp-content/uploads/2021/11/TTO_2021_proceedings.pdf#page=62

• Y. Mejova, M. Petrocchi, C. Scarton (2021) Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Online Social Networks and Media 23, 100132 https://www.sciencedirect.com/science/article/abs/pii/S2468696421000161?via%3Dihub

Conference papers

• Diana Maynard, Julie Posetti, Kalina Bontcheva. Using Natural Language Processing to analyse social media attacks targeting Philippines Journalist Maria Ressa: a big data case study. World Press Freedom Day Academic Conference on the Safety of Journalists, 29 April 2021, Windhoek, Namibia.

• Jackie Harrison, Diana Maynard and Sara Torsner. Building local monitoring capacity through a human rights-based approach to the systematic monitoring of violations against journalists in line with Sustainable Development Goal 16.10.1. World Press Freedom Day Academic Conference on the Safety of Journalists, 29 April 2021, Windhoek, Namibia.

• Diana Maynard, Sara Torsner, Jackie Harrison, Julie Posetti. Monitoring violence against women journalists: a proposal for a gender responsive approach to systematically record violations and pathways of violence escalation. International Association for Media and Communication Research (IAMCR) conference, 11-15 July 2021, Nairobi, Kenya.

• Julie Posetti, Diana Maynard, Kalina Bontcheva. Maria Ressa: A multidisciplinary participatory action research case study in gendered online violence. International Association for Media and Communication Research (IAMCR) conference, 11-15 July 2021, Nairobi, Kenya.

• R. Mitkov, G. Angelova (2021) Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021) In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021) https://aclanthology.org/2021.ranlp-1.0.pdf

• G. Rehm, S. Piperidis, K. Bontcheva, J. Hajic et al. (2021) European Language Grid: A Joint Platform for the European Language Technology Community In 6th Conference of the European Chapter of the Association for Computational Linguistics pp 221-230 https://aclanthology.org/2021.eacl-demos.26/

• M. Garcia, T. K. Vieira, C. Scarton, M. Idiart and A. Villavicencio (2021) Assessing the representations of idiomaticity in vector models with a noun compound dataset labeled at type and token levels In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 2730–2741 https://aclanthology.org/2021.acl-long.212/

• M. Garcia, T. K. Vieira, C. Scarton, M. Idiart and A. Villavicencio (2021) Probing for idiomaticity in vector space models In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pp. 3551–3564 https://aclanthology.org/2021.eacl-main.310/

• Y. Jiang, X. Song, C. Scarton, A. Aker, K. Bontcheva (2021) Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pp. 556–567 https://aclanthology.org/2023.ranlp-1.61/

• H. T. Madabushi, E. Gow-Smith, C. Scarton and A. Villavicencio (2021) AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3464–3477 https://aclanthology.org/2021.findings-emnlp.294/

Pre-prints

• I. Singh, K. Bontcheva, C. Scarton (2021) The false covid-19 narratives that keep being debunked: A spatiotemporal analysis https://arxiv.org/abs/2107.12303

• T. Farrell, M. Bakir, K. Bontcheva (2021) MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper https://arxiv.org/abs/2103.02917

• C. Reynolds, B. Takacs, A. Klimashevskaia, A. Angelsen, R. Ibanez Martin, S. Brewer, M. van Erp, A. Starke, D. Maynard and C. Trattner, (2021) Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing https://openaccess.city.ac.uk/id/eprint/27235/

Other

• J. Posetti, D. Maynard and K. Bontcheva (2021) Maria Ressa: Fighting an Onslaught of Online Violence. ICFJ, Washington, D.C., March 2021. PDF

• J. Posetti, N. Shabbir, D. Maynard, K. Bontcheva, N. Aboulez (2021). The Chilling: Global trends in online violence against women journalists. Research discussion paper. UNESCO, April 2021. PDF

• Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, Diana Maynard, Christoph Trattner (2021) Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing Poster presented at Livestock, Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.

2020

Journal papers

• D. Maynard, B. Lepori, J. Petrak, X. Song, P. Larédo (2020) Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project Journal of Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst

• J. Harrison, D. Maynard and S. Torsner (2020) Strengthening the Monitoring of SDG 16.10.1 and the Manifestations of Violations against Journalists through an Events-based Methodology Journal of Media and Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543

• G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva (2020) Which politicians receive abuse? Four factors illuminated in the UK general election 2019 EPJ Data Science, 9(1), 18. https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9

• Y. Mu, and N. Aletras (2020) "Identifying Twitter users who repost unreliable news sources with linguistic information." PeerJ Computer Science 6 (2020): e325 https://peerj.com/articles/cs-325/

• T. Farrell, G. Gorrell and K. Bontcheva (2020) Vindication, virtue, and vitriol: A study of online engagement and abuse toward British MPs during the COVID-19 pandemic Journal of Computational Social Science, vol 3, no 2. 2020, pp. 401-443 https://link.springer.com/article/10.1007/s42001-020-00090-9

• X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard, K. Bontcheva (2020) Classification aware neural topic model and its application on a new COVID-19 disinformation corpus PLoS ONE 16(2): e0247086 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086

• A. Kolliakou, I. Bakolis, D. Chandran, L. Derczynski, N. Werbeloff, D. P. J. Osborn, K. Bontcheva and R. Stewart (2020) Mental health-related conversations on social media and crisis episodes: a time-series regression analysis Scientific Reports, 10 (1), 1342 https://www.nature.com/articles/s41598-020-57835-9

• F. Alva-Manchego, C. Scarton, L. Specia (2020) Data-driven sentence simplification: Survey and benchmark Computational Linguistics 46 (1), 135-187 https://direct.mit.edu/coli/article/46/1/135/93384/Data-Driven-Sentence-Simplification-Survey-and

• C. Scarton, P. Madhyastha, L. Specia (2020) Deciding when, how and for whom to simplify ECAI 2020 325, 2172-2179 https://ebooks.iospress.nl/volumearticle/55137

Conference papers

• D. Maynard and A. Funk (2020) Combining expert knowledge with NLP for specialised applications In Proceedings of 23rd International Conference on Text, Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1

• X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R. Dutta, A. Roberts (2020) Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour In the 12th International Conference on Language Resources and Evaluation, 2020 https://aclanthology.org/2020.lrec-1.163/

• Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna (2020) RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media In the 12th International Conference on Language Resources and Evaluation, 2020 https://aclanthology.org/2020.lrec-1.748/

• Natasha Chilman, Xingyi Song, Angus Roberts, Robert Stewart, Anna Kolliakou and Jayati Das-Munshi (2020) Text-Mining Occupations from the Electronic Health Record: The Development and Evaluation of a Natural Language Processing Application to Extract Occupations from the Clinical Record Interactive Search (CRIS) Case Register In: UK healthcare text analytics conference, 2020 https://bmjopen.bmj.com/content/11/3/e042274

• Ye Jiang, Yimin Wang, Xingyi Song and Diana Maynard (2020) Comparing Topic-Aware Neural Networks for Bias Detection of News In Proceedings of ECAI 2020, Aug 29 - 2 Sep 2020, Santiago de Compostela, Spain. https://ebooks.iospress.nl/volumearticle/55122

• N. Sanchan, K. Bontcheva, A. Aker (2020) An Adoption of a Contradiction Detection Task to Assist the Summarization of Online Debates In 2020-5th International Conference on Information Technology (InCIT) https://ieeexplore.ieee.org/abstract/document/9310941

• S. Aref, K. Bontcheva, M. Braghieri, F. Dignum, F. Giannotti, F. Grisolia, D. Pedreschi (2020) Social Informatics: 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings https://books.google.com/books?hl=en&lr=&id=6tIBEAAAQBAJ&oi=fnd&pg=PR5&dq=info:wlLxlS5376oJ:scholar.google.com&ots=3zREdeOqq7&sig=1O0OrjtoXmzvb4Gh76kTQGnOx1g

• Z. Marinova, J. Spangenberg, D. Teyssou, S. Papadopoulos, N. Sarris, A. Alaphilippe and K. Bontcheva (2020) Weverify: Wider and enhanced verification for you project overview and tools 2020 IEEE international conference on multimedia & expo workshops (ICMEW), 1-4 https://ieeexplore.ieee.org/abstract/document/9106056

• R. Santos, G. Pedro, S. Leal, O. Vale, T. Pardo, K. Bontcheva and C. Scarton (2020) Measuring the impact of readability features in fake news detection In Proceedings of the twelfth language resources and evaluation conference pp. 1404-1413 https://aclanthology.org/2020.lrec-1.176/

• G. Rehm, K. Bontcheva, K. Choukri, J. Hajic, S. Piperidis, A. Vasiļjevs (2020) Proceedings of the 1st International Workshop on Language Technology Platforms In Proceedings of the 1st International Workshop on Language Technology Platforms https://aclanthology.org/2020.iwltp-1.0.pdf

• G. Wick-Pedro, R. L. S. Santos, O. A. Vale, T. A. S. Pardo, K. Bontcheva and C. Scarton (2020) Linguistic analysis model for monitoring user reaction on satirical news for Brazilian Portuguese In International Conference on Computational Processing of the Portuguese Language, Springer International Publishing https://link.springer.com/chapter/10.1007/978-3-030-41505-1_30

• Y. Li, C. Scarton (2020) Revisiting Rumour Stance Classification: Dealing with Imbalanced Data In Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM), pp. 38-44 https://aclanthology.org/2020.rdsm-1.4/

• F. Alva-Manchego, L. Martin, A. Bordes, C. Scarton, B. Sagot, L. Specia (2020) ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 4668–4679 https://aclanthology.org/2020.acl-main.424/

• J.A. Leite, D.F. Silva, K. Bontcheva, C. Scarton (2020) Toxic language detection in social media for Brazilian Portuguese: New dataset and multilingual analysis In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pp. 914–924 https://aclanthology.org/2020.aacl-main.91/

• C. Scarton, D.F. Silva, K. Bontcheva (2020) Measuring what counts: The case of rumour stance classification In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pp. 925-932 https://aclanthology.org/2020.aacl-main.92/

• G. Rehm, D. Galanis, P. Labropoulou, S. Piperidis, M. Welß, R. Usbeck et al.(2020) Towards an interoperable ecosystem of AI and LT platforms: A roadmap for the implementation of different levels of interoperability In Proceedings of the 1st International Workshop on Language Technology Platforms, pp.97-107 https://aclanthology.org/2020.iwltp-1.15/

• G. Rehm, K. Marheinecke, S. Hegele, S. Piperidis, K. Bontcheva, J. Hajič et al. (2020) The European language technology landscape in 2020: Language-centric and human-centric AI for cross-cultural communication in multilingual Europe In Proceedings of the Twelfth Language Resources and Evaluation Conference, pp. 3322-3332 https://aclanthology.org/2020.lrec-1.407/

• G. Rehm, M. Berger, E. Elsholz, S. Hegele, F. Kintzel, K. Marheinecke et al. (2020) European Language Grid: An Overview In Proceedings of the Twelfth Language Resources and Evaluation Conference, pp. 3366–3380 https://aclanthology.org/2020.lrec-1.413/

Pre-prints

• Genevieve Gorrell, Tracie Farrell, and Kalina Bontcheva. (2020) MP Twitter Abuse in the Age of COVID-19: White Paper. https://arxiv.org/abs/2006.08363

• G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, K. Bontcheva (2020) Online abuse toward candidates during the UK general election 2019 https://arxiv.org/abs/2001.08686

Book Chapter

• K. Bontcheva, J. Posetti, D. Teyssou, T. Meyer, S. Gregory, C. Hanot and D. Maynard (2020) Balancing act: countering digital disinformation while respecting freedom of expression: Broadband Commission research report on ‘Freedom of Expression and Addressing Disinformation on the Internet' Published in 2020 by International Telecommunication Union (ITU), Place des Nations, CH-1211 Geneva 20, Switzerland, and the United Nations Educational, Scientific and Cultural Organization, and United Nations Educational, Scientific and Cultural Organization (UNESCO) https://unesdoc.unesco.org/ark:/48223/pf0000379015

Other

• J. Posetti and K. Bontcheva (2020) Disinfodemic: Deciphering Covid-19 disinformation, Policy brief 1 UNESCO https://www.globacademy.org/wp-content/uploads/2024/03/UNESCO-Disinfodemic.pdf

• C. Scarton (2020) Horacio Saggion, Automatic Text Simplification. Synthesis lectures on human language technologies, April 2017. 137 pages, ISBN:1627058680 9781627058681 Natural Language Engineering 26 (4), 489-492 - Book Review https://www.cambridge.org/core/journals/natural-language-engineering/article/horacio-saggion-automatic-text-simplification-synthesis-lectures-on-human-language-technologies-april-2017-137-pages-isbn16270586809781627058681/292E0D2B8392F829F872FF87B134283B

2019

Journal papers

• Genevieve Gorrell, Mehmet E. Bakir, Ian Roberts, Mark A. Greenwood, Benedetta Iavarone and Kalina Bontcheva (2019) Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate. Journal of Web Science 2019(7). https://webscience-journal.net/webscience/article/view/84

• S. Velupillai, G. Hadlaczky, E. Baca-Garcia, G. M. Gorrell, N. Werbeloff, D. Nguyen, R. Patel, D. Leightley, J. Downs, M. Hotopf, & R. Dutta (2019) Risk assessment tools and data-driven approaches for predicting and preventing suicidal behavior. Frontiers in psychiatry, 10. https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2019.00036/full

Conference papers

• Benedetto Lepori, Philippe Laredo, Thomas Scherngell, Diana Maynard and Massimiliano Guerini (2019) Exploring Knowledge production in Europe. The KNOWMAK tool. Atlanta Conference on Science and Innovation Policy (ATLC), 14-16 October 2019, Atlanta, US. Abstract

• Y.Jiang, J. Petrak, X. Song, K. Bontcheva, D. Maynard (2019) Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. In Proceedings of SemEval 2019 - the International Workshop on Semantic Evaluation, 6-7 June 2019, Minneapolis, US, pp. 840-844 https://www.aclweb.org/anthology/S19-2146/

• D. Maynard, S. Torsner, J. Harrison (2019) Bridging the Gap between local and global monitoring of journalist safety. International Association for Media and Communication Research (IAMCR) conference, 7-11 July 2019, Madrid, Spain.

• D. Maynard, S. Torsner (2019) Mixed-methods approach for monitoring the safety of journalists: data collection - categorisation and analysis. International Association for Media and Communication Research (IAMCR) conference, 7-11 July 2019, Madrid, Spain.

• D. Maynard, B. Lepori and P. Laredo (2019) Using ontologies to map between research and policy data: opportunities and challenges. Proceedings of 17th International Conference on Scientometrics and Informetrics (ISSI), September 2019, Rome. PDF

• Benedetto Lepori, Philippe Laredo, Thomas Scherngell, Diana Maynard and Massimiliano Guerini (2019) Exploring Knowledge production in Europe. The KNOWMAK tool. Proceedings of 17th International Conference on Scientometrics and Informetrics (ISSI), September 2019, Rome. PDF

• D. Maynard, S. Torsner, J. Harrison (2019) Methodological possibilities for strengthening the monitoring of indicator 16.10.1. World Press Freedom Day (WPFD) Academic Conference on the Safety of Journalists, Addis Ababa, Ethiopia, May 1st, 2019.

• G. Gorrell, E. Kochkina, M. Liakata, A. Aker, A. Zubiaga, K. Bontcheva & L. Derczynski (2019) SemEval-2019 task 7: RumourEval, determining rumour veracity and support for rumours. In Proceedings of the 13th International Workshop on Semantic Evaluation (pp. 845-854). pdf

• T. Karmakharm, N. Aletras, K. Bontcheva (2019) Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pp. 115-120 https://aclanthology.org/D19-3020/

• A. Aker, A. Sliwa, F. Dalvi & K. Bontcheva (2019) Rumour verification through recurring information and an inner-attention mechanism Online Social Networks and Media, v13 https://www.sciencedirect.com/science/article/abs/pii/S2468696419300588

Preprints

• Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Paolo Cifariello, Jackie Harrison, J. Miguel Kanai, and Kalina Bontcheva. (2019) Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data. https://arxiv.org/abs/1902.06521

• A. Aker, V. Kevin & K. Bontcheva (2019) Predicting News Source Credibility https://www.sheffield.ac.uk/sites/default/files/2022-04/TTOPaperFinal.pdf

• A. Aker, V. Kevin & K. Bontcheva (2019) Credibility and Transparency of News Sources: Data Collection and Feature Analysis https://www.sheffield.ac.uk/sites/default/files/2022-04/paper3.pdf

Other

• A. Alaphilippe, A. Gizikis, C. Hanot, K. Bontcheva (2019) Automated tackling of disinformation: Major challenges ahead Study for Panel for the Future of Science and Technology, European Science-Media Hub https://www.sheffield.ac.uk/sites/default/files/2022-04/EPRS_STU2019624278_EN.pdf

2018

Journal papers

• G. Resce & D. Maynard (2018) What matters most to people around the world? Retrieving Better Life Index priorities on Twitter. Journal of Technological Forecasting & Social Change. https://www.sciencedirect.com/science/article/pii/S0040162517309782

• R. Jackson, I. Kartoglu, C. Stringer, G. Gorrell, A. Roberts, X. Song, H. Wu, A. Agrawal, K. Lui, T. Groza, & D. Lewsley (2018) CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC medical informatics and decision making, 18(1), p.47 https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0623-9

• A. Zubiaga, A. Aker, K. Bontcheva, M. Liakata, R. Procter (2018) Detection and Resolution of Rumours in Social Media: A Survey ACM Computing Surveys (CSUR), Volume 51, Issue 2, Article No. 32, Pages 1 - 36 https://dl.acm.org/doi/10.1145/3161603

• A. Zubiaga, E. Kochkina, M. Liakata, R. Procter, M. Lukasik, K. Bontcheva, T. Cohn & I. Augenstein (2018) Discourse-aware rumour stance classification in social media using sequential classifiers Information Processing & Management, v54, Issue 2, March 2018, pp. 273-290 https://www.sciencedirect.com/science/article/pii/S0306457317303746

Conference papers

• Xingyi Song, Johann Petrak, Angus Roberts (2018) A Deep Neural Network Sentence Level Classification Method with Context Information. Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31–November 4, 2018. http://aclweb.org/anthology/D18-1107

• Prashant Khare, Gregoire Burel, Diana Maynard and Harith Alani (2018) Cross-Lingual Classification of Crisis Data. International Semantic Web Conference, October 8-12 2018, Monterey, California. pre-print

• G. Gorrell, I. Roberts, M. A. Greenwood, M. E. Bakir, B. Iavarone & K. Bontcheva (2018) Quantifying Media Influence and Partisan Attention on Twitter during the UK EU Referendum. Social Informatics 2018, St Petersburg, Russia, 25-28 September 2018. Author Accepted Manuscript

• Z. Zhang, J. Petrak, D. Maynard (2018) Adapted TextRank for Term Extraction: In Proceedings of Semantics 2018, Vienna, Austria, 10-13 September, 2018. pre-print

• G. Gorrell, M. Greenwood, I. Roberts, D. Maynard, K. Bontcheva (2018) Twits, Twats and Twaddle: Trends in Online Abuse towards UK Politicians. In Proceedings of the 12th International Conference on Web and Social Media (ICWSM 2018), 25-28 June 2018, Stanford, US. https://ojs.aaai.org/index.php/ICWSM/article/view/15070

• L. Derczynski, K. Meesters, K. Bontcheva, D. Maynard (2018) Helping Crisis Responders Find the Informative Needle in the Tweet Haystack. In Proceedings of 15th International Conference on Information Systems for Crisis Response and Management (ISCRAM), 20-23 May 2018, Rochester, US. arxiv pre-print

• X.Song, J.Downs, S.Velupillai, R.Holden, M.Kikoler, R.Dutta, A.Roberts (2018) Using the Big Picture – A Deep and Distant Approach to Classification of Suicidal Ideation in Autism Spectrum Disorder. UK Healthcare Text Analytics Conference. 18-19 April 2018, Manchester, UK. PDF

• S. Dungs, A. Aker, N. Fuhr, K. Bontcheva (2018) Can Rumour Stance Alone Predict Veracity? In Proceedings of the 27th International Conference on Computational Linguistics pp. 3360-3370 content%20and%20user%20based%20features.

2017

Journal papers

• M. Fernandez, L. Piccolo, D. Maynard, M. Wippoo, C. Meili, H. Alani (2017) Pro-Environmental Campaigns via Social Media: Analysing Awareness and Behaviour Patterns. The Journal of Web Science, 3(1), 2017.pre-print

• D. Maynard, I. Roberts, M. A. Greenwood, D. Rout and K. Bontcheva (2017) A Framework for Real-time Semantic Social Media Analysis. Web Semantics: Science, Services and Agents on the World Wide Web, 2017 (in press). https://doi.org/10.1016/j.websem.2017.05.002, pre-print

• I. Augenstein, L. Derczynski, K. Bontcheva (2017) Generalisation in Named Entity Recognition: A Quantitative Analysis. In Computer Speech and Language, Elsevier. PDF

• A. Aker, A. Zubiaga, K. Bontcheva, A. Kolliakou, R. Procter & M. Liakata (2017) Stance classification in out-of-domain rumours : a case study around mental health disorders In Social Informatics 2017, Oxford, 13-15 Sep 2017. Published in: Social Informatics. SocInfo 2017, 10540 pp. 53-64 https://link.springer.com/chapter/10.1007/978-3-319-67256-4_6

Book chapters

• K. Bontcheva, L. Derczynski, I. Roberts (2017) Crowdsourcing Named Entity Recognition and Entity Linking Corpora. In Nancy Ide and James Pustejovsky, eds.: The Handbook of Linguistic Annotation, Springer, 2017. ISBN 978-94-024-0879-9 Springer Link

Conference/workshop papers

• D. Maynard and B. Lepori (2017) Ontologies as bridges between data sources and user queries: the KNOWMAK project experience. Proceedings of STI 2017, Paris, France, September 2017 PDF

• Y. Jiang, X. Song, J. Harrison, S. Quegan and D. Maynard (2017) Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. Proc. of EMNLP workshop Natural Language Meets Journalism, Copenhagen, Denmark, September 2017 PDF

• P.K. Srijith, M. Lukasik, K. Bontcheva and T. Cohn (2017) Longitudinal Modeling of Social Media with Hawkes Process based on Users and Networks. In The IEEE/ACM International Conference on Social Networks Analysis and Mining, ASONAM, 2017.

• D. Maynard, A. Funk and B. Lepori (2017) Towards an Infrastructure for Understanding and Interlinking Knowledge Co-Creation in European research. ESWC 2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017. PDF

• L. Derczynski (2017) Automatically Ordering Events and Times in Text. Studies in Computational Intelligence 677. Springer. online version

• L. Derczynski, K. Bontcheva, M. Liakata, R. Procter, G. Wong Sak Hoi, A. Zubiaga (2017) SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. In 10th International Workshop on Semantic Evaluation (SemEval 2017), ACL. PDF

• A. Aker, J. Petrak, and F. Sabbah (2017) An Extensible Multilingual Open Source Lemmatizer, in Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, 2017, pp. 40–45. online version

• A. Aker, L. Derczynski & K. Bontcheva (2017) Simple Open Stance Classification for Rumour Analysis In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP, pp. 31-39 https://aclanthology.org/R17-1005/

2016

Books

• D. Maynard, K. Bontcheva, I. Augenstein (2016) Natural Language Processing for the Semantic Web. Morgan and Claypool, December 2016. ISBN: 9781627059091 Morgan and Claypool link

Journal papers

• Anna Kolliakou, Michael Ball, Leon Derczynski, David Chandran, George Gkotsis, Paolo Deluca, Richard Jackson, Hitesh Shetty, Robert Stewart (2016) Novel psychoactive substances: an investigation of temporal trends in social media and electronic health records. European Psychiatry.

Conference/workshop papers

• L. Derczynski, K. Bontcheva, I. Roberts (2016) Broad Twitter Corpus: A Diverse Named Entity Recognition Resource. In Proc. of the Int'l Conference on Computational Linguistics (COLING). PDF

• M. Lukasik, P. K. Srijith, D. Vu, K. Bontcheva, A. Zubiaga, T. Cohn (2016) Hawkes Processes for Continuous Time Sequence Classification an Application to Rumour Stance Classification in Twitter. In Proceedings of the 54th annual meeting of the Association for Computational Linguistics, ACL, 2016. PDF

• A. Zubiaga, E. Kochkina, M. Liakata, R. Procter, M. Lukasik (2016) Stance classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations. In 26th International Conference on Computational Linguistics, COLING, 2016. PDF

• L. Derczynski (2016) Representation and Learning of Temporal Relations. In Proc. of the Int'l Conference on Computational Linguistics (COLING). PDF

• S. Bethard, G. Savova, W-T. Chen, L. Derczynski, J. Pustejovsky, M. Verhagen (2016) SemEval-2016 Task 12: Clinical TempEval. In Proceedings of the 2016 workshop on Semantic Evaluation.

• D. Maynard and K. Bontcheva (2016) Challenges of Evaluating Sentiment Analysis Tools on Social Media. In Proc. of Language Resources and Evaluation Conference (LREC), May 2016, Portoroz, Slovenia. PDF

• Miriam Fernandez, Harith Alani, Lara Piccolo, Christoph Meili, Diana Maynard and Meia Wippoo (2016) Talking Climate Change via Social Media: Communication, Engagement and Behaviour. Proc. of WebSci, May 22-25 2016, Hannover, Germany. PDF

• Siti Salwa Hasbullah and Diana Maynard (2016) Automated Content Analysis: A Sentiment Analysis on Malaysian Government Social Media In Proc. of ACM International Conference on Ubiquitous Information Management and Communication (IMCOM), January 2016, Danang, Vietnam. PDF

• L. Derczynski and S. Chester (2016) Generalised Brown Clustering and Roll-up Feature Generation. In Proc. 30th AAAI, Phoenix, AZ USA Feb. 2016. PDF code - doi:10.5281/zenodo.33758

• L. Derczynski (2016) Complementarity, F-score, and NLP Evaluation. In Proceedings of the 10th Conference on International Language Resources and Evaluation. 2016. PDF

• L. Derczynski, J. Strötgen, D. Maynard, M. A. Greenwood, M. Jung (2016) GATE-Time: Extraction of Temporal Expressions and Events. In Proceedings of the 10th Conference on International Language Resources and Evaluation. 2016. PDF

• L. Derczynski (2016) Language as a reflection of mental time travel. In the Conference on Travelling in time: The construction of past and future events across domains. 2016.

2015

Book chapters

• Diana Maynard and Jonathon Hare (2015) Entity-based Opinion Mining from Text and Multimedia. In "Advances in Social Media Analysis", Mohamed Gaber, Nirmalie Wiratunga, Ayse Goker, and Mihaela Cocea (eds.) 2015, Springer. Springer link.

• B. Pereira Nunes, R. Kawase, B. Fetahu, S. Dietze, M. Casanova, D. Maynard (2015) Interlinking documents based on semantic graphs with an application. In "Knowledge-Based Information Systems in Practice: Smart Innovation, Systems and Technologies" Volume 30, 2015, Springer, ISBN 978-3-319-13544-1, pp 139-155. Springer link

Journal articles

• L. Derczynski, D. Maynard, G. Rizzo, M. van Erp, G. Gorrell, R. Troncy, J. Petrak, K. Bontcheva (2015) Analysis of Named Entity Recognition and Linking for Tweets. In Information Processing and Management, 51(2) 32-49, 2015. PDF

• K. Bontcheva, J. Kieniewicz, S. Andrews and M. Wallis (2015) Semantic Enrichment and Search: A Case Study on Environmental Science Literature. In D-Lib Magazine, Vol 21, Number 1/2, Jan/Feb 2015. HTML.

Conference/workshop papers

• M. Lukasik, T. Cohn and K. Bontcheva (2015) Classifying Tweet Level Judgements of Rumours in Social Media. In Proceedings of Empirical Methods of Natural Language Processing, EMNLP, 2015. https://aclanthology.org/D15-1311/

• M. Lukasik, S. Prabhakaran Nair Kusumam, T. Cohn, and K. Bontcheva (2015) Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. In Proceedings of Empirical Methods of Natural Language Processing, EMNLP, 2015. PDF

• M. Lukasik, T. Cohn, K. Bontcheva (2015) Point process modelling of rumour dynamics in social media. In Proceedings of the 53rd annual meeting of the Association for Computational Linguistics, ACL, 2015. PDF

• D. Maynard and K. Bontcheva (2015) Understanding climate change tweets: an open source toolkit for social media analysis. In Proc. of EnviroInfo 2015, Copenhagen, Sep. 2015. PDF

• D. Maynard, M. A. Greenwood, I. Roberts, G. Windsor, K. Bontcheva (2015) Real-time Social Media Analytics through Semantic Annotation and Linked Open Data. Proceedings of WebSci 2015, Oxford, UK. PDF

• G. Gorrell, J. Petrak and K. Bontcheva (2015) LOD-based Disambiguation of Named Entities in @tweets through Context #enrichment. In Proceedings of ESWC, June 2015, Portoroz, Slovenia. PDF

• A. Dietzel and D. Maynard (2015) Climate Change: A Chance for Political Re-Engagement? In Proc. of the Political Studies Association 65th Annual International Conference, April 2015, Sheffield, UK. PDF

• S. Bethard, L. Derczynski, J. Pustejovsky, M. Verhagen (2015) SemEval-2015 Task 6: Clinical TempEval. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015).

• F. Uzdilli, M. Jaggi, D. Egger, P. Julmy, L. Derczynski, M. Cieliebak (2015) Swiss-Chocolate: Combining Flipout Regularization and Random Forest with Artificially Built Subsystems to Boost Text-Classification for Sentiment. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015).

• H. Tissot, G. Gorrell, A. Roberts, L. Derczynski, M. Didonet del Fabro (2015) UFPRSheffield: Contrasting Two Diverse Approaches to Time Expression Identification in Clinical TempEval. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015).

• H. Tissot, A. Roberts, L. Derczynski, G. Gorrell, M. Didonet del Fabro (2015) Analysis of Temporal Expressions Annotated in Clinical Notes. In Proceedings of the 11th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA-11). PDF

• M. Leginus, L. Derczynski, P. Dolog (2015) Enhanced Information Access to Social Streams through Word Clouds with Entity Grouping. In Proceedings of the 11th International Conference on Web Information Systems and Technologies (WEBIST). PDF

• L. Derczynski, I. Augenstein, K. Bontcheva (2015) USFD: Twitter NER with Drift Compensation and Linked Data. In Proceedings of the Workshop on Noisy User-generated Text (W-NUT).

• L. Derczynski, S. Chester, K. S. Bøgh (2015) Tune Your Brown Clustering, Please. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2015). Why you must tune Brown clustering and how

• L. Derczynski, R. Gaizauskas (2015) Temporal Relation Classification using a Model of Tense and Aspect. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2015).

• L. Derczynski, K. Bontcheva (2015) Efficient named entity annotation through pre-empting. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2015).

2014

• Gorrell, G., & Bontcheva, K. (2014) Classifying Twitter Favorites: Like, Bookmark, or Thanks? Journal of the Association for Information Science and Technology. PDF

• Diana Maynard, Gerhard Gossen, Marco Fisichella, Adam Funk (2014) Should I care about your opinion? Detection of opinion interestingness and dynamics in social media. Journal of Future Internet, Special Issue on Archiving Community Memories, 2014. http://www.mdpi.com/1999-5903/6/3/457/pdf

• Elena Demidova, Nicola Barbieri, Stefan Dietze, Adam Funk, Helge Holzmann, Diana Maynard, Nikos Papailiou, Wim Peters, Thomas Risse, Dimitris Spiliotopoulos (2014) Analysing and Enriching Focused Semantic Web Archives for Parliament Applications. In Journal of Future Internet, Special Issue on Archiving Community Memories, 2014. Download

• Diana Maynard (2014) Challenges in Analysing Social Media. In Adrian Duşa, Dietrich Nelle, Günter Stock and Gert G. Wagner (eds.) (2014): Facing the Future: European Research Infrastructures for the Humanities and Social Sciences. SCIVERO Verlag, Berlin, 2014.

• Diana Maynard and Mark A. Greenwood (2014) Who cares about sarcastic tweets? Investigating the impact of sarcasm on sentiment analysis. Proc. of LREC 2014, Reykjavik, Iceland, May 2014. PDF

• Diana Maynard and Kalina Bontcheva (2014) Natural Language Processing. In J. Lehmann and J. Voelker editors, Perspectives of Ontology Learning. IOS Press.

• L. Derczynski, K. Bontcheva (2014) Spatio-temporal grounding of claims made on the web, in Pheme. Proceedings of the 10th Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA). PDF

• L. Derczynski, K. Bontcheva (2014) Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets. Proceedings of the meeting of the European chapter of the Association for Computation Linguistics (EACL). PDF

• K. Bontcheva, I. Roberts, L. Derczynski, D. Rout (2014) The GATE Crowdsourcing Plugin: Crowdsourcing Annotated Corpora Made Easy. Proceedings of the meeting of the European chapter of the Association for Computation Linguistics (EACL). PDF

• M. Sabou, K. Bontcheva, L. Derczynski, A. Scharl (2014) Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines. Proceedings of the Language Resources and Evaluation Conference (LREC). PDF

• T. Risse, W. Peters, P. Senellart, D. Maynard (2014) Documenting Contemporary Society by Preserving Relevant Information from Twitter. In 'Twitter and Society', edited by K. Weller, A. Bruns, J. Burgess, M. Mahrt and C. Puschmann. PDF

• L. Derczynski, C. V. Field, K. S. Bøgh (2014) DKIE: Open Source Information Extraction for Danish. Proceedings of the meeting of the European chapter of the Association for Computation Linguistics (EACL). PDF

2013

• K. Bontcheva, H. Cunningham, I. Roberts, A. Roberts, V. Tablan, N. Aswani, G. Gorrell (2013) Teamware: A Web-based, Collaborative Text Annotation Framework. Language Resources and Evaluation. Volume 47, Issue 4, December 2013. PDF

• Leon Derczynski, Robert Gaizauskas (2013) Information Retrieval for Temporal Bounding. Proceedings of the International Conference on the Theory of Information Retrieval (ICTIR 2013). PDF

• Diana Maynard, David Dupplaw, Jonathon Hare (2013) Multimodal Sentiment Analysis of Social Media. Proc. of BCS SGAI Workshop on Social Media Analysis, 10 December 2013. PDF

• Valentin Tablan; Kalina Bontcheva; Ian Roberts; Hamish Cunningham; Marin Dimitrov (2013) AnnoMarket: An Open Cloud Platform for NLP. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL'2013). PDF

• K. Bontcheva, L. Derczynski, A. Funk, M.A. Greenwood, D. Maynard, N. Aswani (2013) TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2013). PDF, Download TwitIE

• E Demidova, N. Barbieri, S. Dietze, A. Funk, G. Gossen, D. Maynard, N. Papailiou, V. Plachouras, W. Peters, T. Risse, Y. Stavrakas & N. Tahmasebi (2013) Analysing Entities, Topics and Events in Community Memories. Proceedings of the first International Workshop on Archiving Community Memories.

• M. Brucato, L. Derczynski, H. Llorens, K. Bontcheva, C.S. Jensen (2013) Recognising and Interpreting Named Temporal Expressions. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2013). PDF

• L. Derczynski, A. Ritter, S. Clark, K. Bontcheva (2013) Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2013). PDF, Download the POS tagger

• L. Derczynski, K. Bontcheva (2013) Mining Social Media with Linked Open Data, Entity Recognition, and Event Extraction. Third Workshop on Data Extraction and Object Search (DEOS 2013). slides

• L. Derczynski, R. Gaizauskas (2013) Information Retrieval for Temporal Bounding. Fourth International Conference on the Theory of Information Retrieval (ICTIR 2013). PDF

• L. Derczynski, R. Gaizauskas (2013) Temporal Signals Help Label Temporal Relations. Proceedings of the 51st meeting of the Association for Computational Linguistics (ACL 2013). PDF

• N. Uzzaman, H. Llorens, L. Derczynski, J.F. Allen, M. Verhagen, J. Pustejovsky (2013) SemEval-2013 Task 1: TempEval-3: Evaluating Events, Time Expressions, and Temporal Relations. In Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013). PDF

• B. Pereira Nunes, R. Kawase, B. Fetahu, S. Dietze, M. Casanova, D. Maynard (2013) Interlinking documents based on semantic graphs. 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2013), 9-12 September 2013, Kitakyushu, Japan.

• D. Rout, K. Bontcheva, M. Hepple (2013) Reliably Evaluating Summaries of Twitter Timelines. Analyzing Microtext. AAAI 2013 Spring Symposium. March 25-27, Stanford, California, 2013. PDF

• D. Rout, D. Preotiuc-Pietro, K. Bontcheva, T. Cohn (2013) Where’s @wally? A Classification Approach to Geolocating Users Based on their Social Ties. 24th ACM Conference on Hypertext and Social Media, 1–3 May, Paris, France. 2013. Online version

• L. Derczynski, D. Maynard, N. Aswani, K. Bontcheva (2013) Microblog-Genre Noise and Impact on Semantic Annotation Accuracy. 24th ACM Conference on Hypertext and Social Media, 1–3 May, Paris, France. 2013. PDF

• L. Derczynski, R. Gaizauskas (2013) Empirical Validation of Reichenbach's Tense Framework. In Proceedings of the 10th Conference on Computational Semantics (IWCS 2013). PDF

• L. Derczynski, B. Yang, C.S. Jensen (2013) Towards Context-Aware Search and Analysis on Social Media Data. In Proceedings of the Extending Database Technology conference (EDBT 2013), Genoa, Italy. PDF

• Cunningham H, Tablan V, Roberts A, Bontcheva K (2013) Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics. PLoS Comput Biol 9(2): e1002854. doi:10.1371/journal.pcbi.1002854 — http://tinyurl.com/gate-life-sci/

• V. Tablan, I. Roberts, H. Cunningham, and K. Bontcheva (2013) GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud. Philosophical Transactions of the Royal Society A, 371(1983), 2013 doi:10.1098/rsta.2012.0071.

• K. Bontcheva, D. Rout (2013) Making Sense of Social Media through Semantics: A Survey. Semantic Web - Interoperability, Usability, Applicability. IOS Press. In Press. Pre-print with PDF.

• D. Damljanovic, M. Agatonovic, H. Cunningham, K. Bontcheva (2013) Improving habitability of natural language interfaces for querying ontologies with feedback and clarification dialogues. Web Semantics: Science, Services and Agents on the World Wide Web. Volume 19. pages 1-21. PDF

2012

• S. Dietze, D. Maynard, E. Demidova, T. Risse, W. Peters, K. Doka, Y. Stavrakas (2012) Preservation of Social Web Content based on Entity Extraction and Consolidation. International Workshop on Semantic Digital Archives (SDA 2012), Paphos, Cyprus, September 2012, Vol. 912 CEUR-WS.org (2012) , p. 18-29.

• M. Sabou, K. Bontcheva, A. Scharl (2012) Crowdsourcing research opportunities: Lessons from Natural Language Processing. I-KNOW, September 2012. PDF

• D. Damljanovic and K. Bontcheva (2012) Named Entity Disambiguation using Linked Data. Proceedings of the 9th Extended Semantic Web Conference (ESWC 2012), Heraklion, Greece, May 2012. Poster session. PDF

• D. Maynard, K. Bontcheva, D. Rout (2012) Challenges in developing opinion mining tools for social media. In Proceedings of @NLP can u tag #usergeneratedcontent?! Workshop at LREC 2012, May 2012, Istanbul, Turkey. PDF

• D. Maynard and M. Greenwood (2012) Large Scale Semantic Annotation, Indexing and Search at The National Archives. In Proceedings of LREC 2012, May 2012, Istanbul, Turkey. PDF

• H. H. Wang, D. Damljanovic, T. R. Payne, N. Gibbins, K. Bontcheva (2012) Transition of legacy systems to semantically enabled applications: TAO method and tools. Semantic Web 3(2): 157-168. 2012. PDF

• M. A. Greenwood, N. Aswani, K. Bontcheva (2012) Reputation Profiling with GATE. CLEF (Online Working Notes/Labs/Workshop). 2012. PDF

2011

• K. Bontcheva, H. Cunningham (2011) Semantic Annotations and Retrieval: Manual, Semi-automatic and Automatic Generation. Domingue, John; Fensel, Dieter; Hendler, James A. (Eds.). Handbook of Semantic Web Technologies. 2011.

• T. Risse, S. Dietze, D. Maynard and N. Tahmasebi (2011) Using Events for Content Appraisal and Selection in Web Archives. In Proceedings of DeRiVE 2011: Workshop in conjunction with the 10th International Semantic Web Conference 2011, October 2011, Bonn, Germany. PDF

• D. Damljanovic, U. Kruschwitz and M. Albakour (2011) Using Virtual Documents to move Information Retrieval and Knowledge Management Closer Together, 4th Workshop on Exploiting Semantic Annotation in Information Retrieval, collocated with the 20th ACM Conference on Information and Knowledge Management (CIKM) 2011, October 28, 2011

• V. Tablan, I. Roberts, H. Cunningham, and K. Bontcheva (2011) GATECloud.net: Cloud Infrastructure for Large-Scale, Open-Source Text Processing. In UK e-Science All hands Meeting 2011, York, September 2011.PDF

• D. Maynard and A. Funk (2011) Automatic detection of political opinions in tweets. In Raúl García-Castro, Dieter Fensel and Grigoris Antoniou (eds.) The Semantic Web: ESWC 2011 Selected Workshop Papers, Lecture Notes in Computer Science, Springer, 2011. PDF (longer version of MSM paper).

• D. Maynard and A. Funk (2011) Automatic detection of political opinions in tweets. In Proceedings of MSM 2011: Making Sense of Microposts. Workshop at 8th Extended Semantic Web Conference (ESWC 2011). Heraklion, Greece. June 2011. PDF

• H. Wang, D. Damljanovic, T. Payne, N. Gibbins, and K. Bontcheva (2011) Transition of Legacy Systems to Semantically Enabled Applications: TAO Method and Tools. Semantic Web Journal, IOS Press, 2011. (to appear)

• D. Damljanovic, M. Agatonovic, H. Cunningham (2011) FREyA: an Interactive Way of Querying Linked Data using Natural Language. In Raúl García-Castro, Dieter Fensel and Grigoris Antoniou (eds.) The Semantic Web: ESWC 2011 Selected Workshop Papers, Lecture Notes in Computer Science, Springer, 2011. PDF (improved version of QALD-1 paper)

• D. Damljanovic, M. Agatonovic, H. Cunningham (2011) FREyA: an Interactive Way of Querying Linked Data using Natural Language. In: Proceedings of 1st Workshop on Question Answering over Linked Data (QALD-1), Collocated with the 8th Extended Semantic Web Conference (ESWC 2011). Heraklion, Greece (June 2011) PDF

• D. Damljanovic, J. Petrak, M. Lupu, H. Cunningham, M. Carlsson, G. Engstrom, B. Andersson (2011) Random Indexing for Finding Similar Nodes within Large RDF graphs. In Raúl García-Castro, Dieter Fensel and Grigoris Antoniou (eds.) The Semantic Web: ESWC 2011 Selected Workshop Papers, Lecture Notes in Computer Science, Springer, 2011. PDF (improved version of RED2011 paper)

• D. Damljanovic, J. Petrak, M. Lupu, H. Cunningham, M. Carlsson, G. Engstrom, B. Andersson (2011) Random Indexing for Finding Similar Nodes within Large RDF graphs. In: Proceedings of the Fourth International Workshop on Resource Discovery (RED2011), Collocated with the 8th Extended Semantic Web Conference (ESWC 2011). Heraklion, Greece (June 2011) PDF

• M. Assel, A. Cheptsov, B. Czink, D. Damljanovic, J. Quesada (2011) MPI Realization of High Performance Search for Querying Large RDF Graphs using Statistical Semantics. In: Proceedings of the 1st Workshop on High-Performance Computing for the Semantic Web, Collocated with the 8th Extended Semantic Web Conference (ESWC 2011). Heraklion, Greece (June 2011) PDF

2010

• H. Wang, D. Damljanovic, J. Sun (2010) Enhanced Semantic Access to Formal Software Models. In the Proceedings of the 12th International Conference on Formal Engineering Methods, November 16 - 19, 2010, Shanghai, China. PDF

• K. Bontcheva, H. Cunningham, I. Roberts, V. Tablan (2010) Web-based Collaborative Corpus Annotation: Requirements and a Framework Implementation. In "New Challenges for NLP Frameworks" workshop at LREC, Malta, May 2010.PDF

• Y. Zeng, Y. Wang, Z. Huang, D. Damljanovic, N. Zhong, and C. Wang (2010) User Interests: Definition, Vocabulary, and Utilization in Unifying Search and Reasoning. Proceedings of the 2010 International Conference on Active Media Technology, Lecture Notes in Computer Science 6335, 98-107, 2010.

• D. Damljanovic (2010) Towards Portable Controlled Natural Languages for Querying Ontologies. In: Rosner, M., Fuchs, N. (eds.) Second Workshop on Controlled Natural Languages, CEUR Workshop Pre-Proceedings ISSN 1613-0073, vol. 622. http://ceur-ws.org, Marettimo Island, Italy, 13-15 September, 2010. PDF

• A. Wyner, K. Angelov, G. Barzdins, D. Damljanovic, B. Davis, N. Fuchs, S. Hoefler, K. Jones, K. Kaljurand, T. Kuhn, M. Luts, J. Pool, M. Rosner, R. Schwitter, J. (2010) Sowa: On controlled natural languages: Properties and prospects. In N. Fuchs, ed.: Controlled Natural Language. Volume 5972 of Lecture Notes in Computer Science. Springer Berlin/Heidelberg (2010) 281–289 10.1007/978-3-642-14418-9 17.

• D. Damljanovic, J. Petrak, H. Cunningham (2010) Random Indexing for Searching Large RDF Graphs. In the Proceedings of the 7th Extended Semantic Web Conference (ESWC 2010), Springer Verlag, Heraklion, Greece, May 31-June 3, 2010. Poster session, PDF

• D. Damljanovic, M. Agatonovic, H. Cunningham (2010) Natural Language Interfaces to Ontologies: Combining Syntactic Analysis and Ontology-based Lookup through the User Interaction. In Proceedings of the 7th Extended Semantic Web Conference (ESWC 2010), Springer Verlag, Heraklion, Greece, May 31-June 3, 2010. PDF

• D. Damljanovic, M. Agatonovic, H. Cunningham (2010) Identification of the Question Focus: Combining Syntactic Analysis and Ontology-based Lookup through the User Interaction. In Proceedings of the 7th Language Resources and Evaluation Conference (LREC 2010), ELRA 2010, La Valletta, Malta, May 17-23, 2010. PDF

• N. Aswani, R. Gaizauskas (2010) Developing Morphological Analysers for South Asian Languages: Experimenting with the Hindi and Gujarati Languages. In Proceedings of the 7th Language Resources and Evaluation Conference (LREC 2010), ELRA 2010, La Valletta, Malta, May 17-23, 2010.

• N. Aswani, R. Gaizauskas (2010) English-Hindi Transliteration using Multiple Similarity Metrics. In Proceedings of the 7th Language Resources and Evaluation Conference (LREC 2010), ELRA 2010, La Valletta, Malta, May 17-23, 2010.

• A. Funk, K. Bontcheva (2010) Effective Development with GATE and Reusable Code for Semantically Analysing Heterogeneous Documents. In "New Challenges for NLP Frameworks" workshop at LREC, Malta, May 2010. PDF paper, slides

• A. Funk, I. Roberts, W. Peters (2010) Implementing a Variety of Linguistic Annotations through a Common Web-Service Interface. In "Language Resource and Language Technology Standards" workshop at LREC, Malta, May 2010. PDF paper, slides

• A. Funk and K. Bontcheva (2010) Ontology-Based Categorization of Web Services with Machine Learning. In Proceedings of the 7th Language Resources and Evaluation Conference (LREC 2010), ELRA 2010, La Valletta, Malta, May 17-23, 2010. PDF paper, poster

2009

• N. Aswani, R. Gaizauskas (2009) Evolving a General Framework for Text Alignment: Case Studies with Two South Asian Languages. In Proceedings of the International Conference on Machine Translation: Twenty-Five Years On, Cranfield, Bedfordshire, UK, November 21-22, 2009.

• T. Agnoloni, L. Bacci, E. Francesconi, W. Peters, M. Montemagni, G. Venturi (2009), A two-level knowledge approach to support multilingual legislative drafting. In: Breuker, J., Casanovas, P., Klein, M. and Francesconi, E. (eds.) Frontiers in Artificial Intelligence and Applications, Volume 188: Law, Ontologies and the Semantic Web - Channelling the Legal Information Flood

• F. Amardeilh, D. Damljanovic and K. Bontcheva (2009) CA Manager: a Framework for Creating Customised Workflows for Ontology Population and Semantic Annotation. In the Proceedings of the Semantic Authoring, Annotation and Knowledge Markup Workshop (SAAKM 2009) co-located with the 5th International Conference on Knowledge Capture (K-CAP 2009), Redondo Beach, California, USA, 1-4 September, 2009. PDF

• F.Amardeilh and D.Damljanovic (2009) Du texte a la connaissance : annotation semantique et peuplement d'ontologie appliques a des artefacts logiciels, Conference Ingenierie des Connaissances 2009, 25-29 May, 2009. (in French). PDF

• K. Bontcheva, B. Davis, A. Funk, Y. Li and T. Wang (2009) Human Language Technologies. Semantic Knowledge Management, John Davies, Marko Grobelnik, and Dunja Mladenic (Eds.), Springer, 37-49, 2009. On-line Link

• D. Damljanovic, F. Amardeilh, K. Bontcheva (2009) CA Manager Framework: Creating Customised Workflows for Ontology Population and Semantic Annotation. In Proceedings of The Fifth International Conference on Knowledge Capture (KCAP'09), California, USA, September 1-4, 2009.PDF.

• D. Damljanovic, K. Bontcheva (2009) Towards Enhanced Usability of Natural Language Interfaces to Knowledge Bases. In Devedzic V. and Gasevic D. (Eds.), Special issue on Semantic Web and Web 2.0, Annals of Information systems, Springer-Verlag, 2009. PDF

• D. Damljanovic, M. Agatonovic, H. Cunningham (2009) Usability of Natural Language Interfaces for querying ontologies presented at Workshop on Controlled Natural Language (CNL 2009) , Marettimo Island, Italy, June 08-10, 2009.

• B.Davis, P.Varma, S.Handschuh, L.Dragan, H.Cunningham (2009) Controlled Natural Language for Semantic Annotation. In Workshop on Controlled Natural Language (CNL) 2009, Marettimo Island, Italy, 2009.

• B.Davis, P.Varma, S.Handschuh, L.Dragan, H.Cunningham (2009) On designing Controlled Natural Languages for Semantic Annotation. In Proceedings of the Workshop on Controlled Natural Language (CNL09), Springer-Verlag, Heidelberg, Germany. (In Press) Marettimo Island, Italy, 2009.

• M. Laclavik and D. Maynard (2009) Motivating intelligent email in business: an investigation into current trends for email processing and communication research. Proceedings of Workshop on Emails in e-Commerce and Enterprise Context, 11th IEEE Conference on Commerce and Enterprise Computing, Vienna, Austria, 2009.

• Y. Li, K. Bontcheva and H. Cunningham (2009) Adapting SVM for Data Sparseness and Imbalance: A Case Study on Information Extraction. Natural Language Engineering, 15(02), 241-271, 2009. On-line Link

• D. Maynard, A. Funk and W. Peters (2009) Using Lexico-Syntactic Ontology Design Patterns for ontology creation and population. In Proceedings of ISWC Workshop on Ontology Patterns (WOP 2009), Washington, 2009. PDF

• D. Maynard, A. Funk and W. Peters (2009) NLP-based support for ontology lifecycle development. Proceedings of ISWC Workshop on Collaborative Construction, Management and Linking of Ontologies (CK 2009), Washington, 2009. PDF

• D. Maynard, A. Funk and W. Peters (2009) SPRAT: a tool for automatic semantic pattern-based ontology population. Proceedings of the International Conference for Digital Libraries and the Semantic Web, Trento, Italy, 2009. PDF

• W.Peters (2009) Text-based Legal Ontology Enrichment, In: proceedings of LOAIT 2009, Barcelona, Spain.PDF

• H.Saggion and A.Funk (2009) Extracting Opinions and Facts for Business Intelligence. Revue des Nouvelles Technologies de l’Information (RNTI), no. E-17 pp119-146; November 2009. PDF

2008

• M. Agatonovic, N. Aswani, K. Bontcheva, H. Cunningham, T. Heitz, Y. Li, I. Roberts and V. Tablan (2008) Large-scale, Parallel Automatic Patent Annotation. In Proceedings of 1st International CIKM Workshop on Patent Information Retrieval - PaIR'08, Napa Valley, California, USA, 30 October, 2008. PDF

• D. Damljanovic, V. Tablan, K. Bontcheva (2008) A text-based query interface to owl ontologies. In: 6th Language Resources and Evaluation Conference (LREC), Marrakech, Morocco, ELRA (May 2008). PDF

• D. Damljanovic and K. Bontcheva (2008) Enhanced Semantic Access to Software Artefacts. In Workshop on Semantic Web Enabled Software Engineering (SWESE) held in conjunction with ISWC'08, Karlsruhe, Germany, October 2008. PDF

• Brian Davis, Ahmad Ali Iqbal, Adam Funk, Valentin Tablan, Kalina Bontcheva, Hamish Cunningham and Siegfried Handschuh (2008) RoundTrip Ontology Authoring. In Proceedings of the 7th International Semantic Web Conference (ISWC2008), Karlsruhe, Germany, October 2008.

• E. Della Valle, D. Cerizza, I. Celino, A. Turati, H. Lausen, N. Steinmetz, M. Erdmann and A. Funk (2008) Service-Finder: realizing Web Service Discovery at Web Scale. In Proceedings of European Semantic Technology Conference (ESTC 2008), Vienna, Au