Experiments with open-domain textual Question Answering

COLING(2000)

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摘要
This paper describes the integration of several knowledge-based natural language processing techniques into a Question Answering system, capable of mining textual answers from large collections of texts. Surprizing quality is achieved when several lightweight knowledge-based NLP techniques complement mostly shallow, surface-based approaches.
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关键词
surprizing quality,question answering system,open-domain textual,lightweight knowledge-based nlp technique,mining textual answer,large collection,surface-based approach,knowledge-based natural language processing,natural language processing,knowledge base,question answering
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