SemQuest: University of Houston's Semantics-based Question Answering System
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چکیده
This work presents, SemQuest, a questionanswering system used in the TAC 2011 guided summarization task based on semantics and extensions of a previous-developed single-document extractor. Our overall methodology includes: a data cleaning step, linguistic preprocessing among category articles, and a sentence extraction phase. A maximal marginal relevance technique, proposed by Carbonell et al., is also used in SemQuest to reduce redundancy and save space to answer as many category aspects as possible within a short summary extract.
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تاریخ انتشار 2011