The "La Sapienza" Question Answering System at TREC 2006

نویسنده

  • Johan Bos
چکیده

This report describes the system developed at the University of Rome “La Sapienza” for the TREC-2006 question answering evaluation exercise. The backbone of this QA system is linguistically-principled: Combinatory Categorial Grammar is used to generate syntactic analyses of questions and potential answer snippets, and Discourse Representation Theory is employed as formalism to match the meanings of questions and answers. The key idea of the La Sapienza system is to use semantics to prune answer candidates, thereby exploiting lexical resources such as WordNet and NomLex to facilitate the selection of answers. The system performed reasonably well at TREC2006: in the per-series evaluation it performed slightly above the median accuracy score of all participating systems.

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تاریخ انتشار 2006