2000 · 24 citations · 16 references
ComputingComputer ScienceLinguisticsComputational LinguisticsInformation RetrievalNatural Language ProcessingInformation ExtractionKnowledge ExtractionNatural Language UnderstandingParsingQuestion AnsweringSyntactic AnalysisAnswer ExtractionAnswer GenerationHighlightingHorn Clause LogicHorn ClausesQuestion Answering SystemsQuestion Answering Systems EvaluationUser Manuals
Answer Extraction (AE) systems retrieve phrases in textual documents that directly answer natural language questions. AE over technical manuals requires very high recall and precision, and yet small text units must be retrieved. It is therefore important to perform linguistic analysis in detail. We present ExtrAns, an AE system over Unix manuals that uses full parsing, partial disambiguation, and anaphora resolution to generate the minimal logical forms of the documents and the query. The search procedure uses a proof algorithm of the user query over the Horn clause representation of the minimal logical forms. Remaining ambiguities in the retrieved sentences are dealt with by graded highlighting.
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Indexing by latent semantic analysis
Scott Deerwester, Susan Dumais, George W. Furnas et al. · Journal of the American Society for Information Science · 1990 · 12.8K citations
Message Understanding Conference-6
Ralph Grishman, Beth Sundheim · 1996 · 1.4K citations · Full text
An algorithm for pronominal anaphora resolution
Shalom Lappin, Herbert J. Leass · 1994 · 765 citations
Parsing English with a Link Grammar
Daniel D. Sleator, David Temperley · 1995 · 684 citations · Full text