Leveraging different meronym discovery methods for bridging resolution in French

Emmanuel Lassalle 1 Pascal Denis 1
1 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
Inria Paris-Rocquencourt, UPD7 - Université Paris Diderot - Paris 7
Abstract : This paper presents a statistical system for resolving bridging descriptions in French, a language for which current lexical resources have a very low overage. The system is similar to that developed for English by Poesio but it was enriched to integrate meronymic information extracted automatically from both web queries and raw text using syntactic patterns. Through various experiments on the DEDE corpus, we show that although still mediocre the performance of our system compare favorably to those obtained by Poesio for English. In addition, our evaluation indicates that the different meronym extraction methods have a cumulative effect, but that the text pattern-based extraction method is more robust and leads to higher accuracy than the web-based approach.
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Communication dans un congrès
I. Hendrickx, S. Lalitha Devi, A. Branco, R. Mitkov. DAARC 2011 - 8th Discourse Anaphora and Anaphor Resolution Colloquium, Oct 2011, Faro, Portugal. Springer, 7099, pp.35-46, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-25917-3〉
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Emmanuel Lassalle, Pascal Denis. Leveraging different meronym discovery methods for bridging resolution in French. I. Hendrickx, S. Lalitha Devi, A. Branco, R. Mitkov. DAARC 2011 - 8th Discourse Anaphora and Anaphor Resolution Colloquium, Oct 2011, Faro, Portugal. Springer, 7099, pp.35-46, 2011, Lecture Notes in Computer Science. 〈10.1007/978-3-642-25917-3〉. 〈hal-00655916〉

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