Text-Mining Research Group

Task-Based Evaluation of Anaphora Resolution: The Case of Summarization

One of the types of semantic interpretation processes that may help ‘crossing the barriers’ in text summarization is anaphora resolution. In this paper, we show that summarization is a good task for evaluating the performance of an anaphoric resolver, in the sense that it encourages developing anaphoric resolvers that build good-quality discourse models, and the performance of the anaphoric resolver correlates well with the performance on the task. Two versions of the guitar anaphora resolution system, 1.1 and 2.1, were used in conjunction with a lsa-based summarizer; we demonstrate that whereas both versions of the system result inimprovements over the pure lsa system, only the latest version, 2.1, leads to significant improvements.

Keywords: Anaphora resolution, summarization

Year: 2005

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Mijail Alexandrov Kabadjov

Massimo Poesio

Josef Steinberger

E-mail: jstein@kiv.zcu.cz

Josef is an associated professor at the Department of computer science and engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in media monitoring and analysis, mainly automatic text summarisation, sentiment analysis and coreference resolution.