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Feature-driven Question Answering With Natural Language Alignment

Xuchen Yao




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 | #10607724 in Books |  2014-07-20 | Original language:English |  11.00 x.86 x8.50l, | File type: PDF | 364 pages

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Question Answering (QA) is the task of automatically generating answers to natural language questions from humans, serving as one of the primary research areas in natural language human-computer interaction. This dissertation focuses on English fact-seeking (factoid) QA, for instance: when was Johns Hopkins founded?. The key challenge in QA is the generation and recognition of indicative signals for answer patterns. In this dissertation I propose the idea of feature-driv...

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