2004 · 82 citations · 9 references
ComputingComputer ScienceDatabasesInformation RetrievalNatural Language ProcessingEvaluation Of Retrieval SystemsKnowledge ExtractionKnowledge RetrievalNatural Language UnderstandingQuestion AnsweringRetrieval ModelsFactoid Question AnsweringKnowledge-based Question AnsweringOpen-domain Question AnsweringQuery AnsweringQuestion Answering SystemsQuestion Answering Systems EvaluationTrec EvaluationTrec Evaluation Framework
Definition questions represent a largely unexplored area of question answering—they are different from factoid questions in that the goal is to return as many relevant “nuggets” of information about a concept as possible. We describe a multi-strategy approach to answering such questions using a database constructed offline with surface patterns, a Webbased dictionary, and an off-the-shelf document retriever. Results are presented from component-level evaluation and from an endto-end evaluation of our implemented system at the TREC 2003 Question Answering Track.
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Data-intensive Question Answering
Eric Brill, Jimmy Lin, Michele Banko et al. · 2001 · 263 citations
What Makes a Good Answer? The Role of Context in Question Answering.
Jimmy Lin, Dennis Quan, Vineet Sinha et al. · 2003 · 103 citations