Title: Leveraging Different Meronym Discovery Methods for Bridging Resolution in French
Abstract: This paper presents a statistical system for resolving bridging descriptions in French, a language for which current lexical resources have a very low coverage. The system is similar to that developed for English by [22], 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 [8], we show that although still mediocre the performance of our system compare favorably to those obtained by [22] 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.