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\title{Human Language Technology for Automatic Annotation and Indexing of Digital Library Content}
\author{Kalina Bontcheva \and  Hamish Cunningham}
\authorrunning{K. Bontcheva and H. Cunningham}
\institute{Department of Computer Science, University of Sheffield \\
211 Portobello St, Sheffield, UK S1 4DP \\
\email{\{kalina,hamish\}@dcs.shef.ac.uk\\}}

\maketitle

\begin{abstract}

This demo will present a set of domain-independent and
customisable Human Language Technology (HLT) tools and the way
they were applied for annotating 18$th$ century OldBailey
proceedings and indexing multimedia content. This demo accompanies
the paper with the same title.
\end{abstract}

\section{Overview}

Each of these digital library applications posed a unique
challenge: the court trials required adapting the language
processing components to the non-standard written conventions of
18th century English, while the football collection presented the
challenge of indexing material in multiple modalities - video,
audio, semi-structured documents, and free text (newspaper
reports). In both cases, we used as a basis our robust and
customisable named entity recogniser, which comes as part of ANNIE
- A Nearly New Information Extraction system (freely available as
part of the GATE system: {\tt http://gate.ac.uk}). In OldBaileyIE
we also used the graphical environment of GATE, which allows
humans to verify and correct the automatically annotated
documents.

First we will demonstrate the set of language technology tools and
how they can be used to annotate named entities in documents
(e.g., person names, organisations, locations, dates, money
amounts, percents). These tools are freely available for research
and commercial use and are also made customisable, so they can be
adapted to new domains and applications.

Next we will demonstrate the automatic annotation of the 18th
century OldBailey texts and present the visual environment used
for annotation error correction. We will also demonstrate how this
environment can be used for manual annotation, independent of the
language technology tools.

Finally we will demonstrate how multimedia content can be indexed
and searched using human language technology. The demonstrator is
in the football domain, where video and textual sources about
matches are indexed and can be accessed via a user-friendly
interface.

These tools are capable of supporting multiple languages through
Unicode. For further details papers from the GATE publications
page: \\ {\tt http://gate.ac.uk/gate/doc/papers.html}.

\end{document}
