Answerfinder: Question Answering by Combining Lexical, Syntactic and Semantic Information
作者： Diego Molla , Mary Gardiner
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摘要: We present a question answering system that combines information at the lexical, syntactic, and semantic levels, in process to find rank candidate answer sentences. The exact answers are extracted from sentences by means of combination information-extraction techniques (named entity recognition) patterns based on logical forms. participated track TREC 2004.
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