A novel pattern learning method for open domain question answering

Authors:
Yongping Du;Xuanjing Huang;Xin Li;Lide Wu
Affiliations:
Department of Computer Science, Fudan University, Shanghai;Department of Computer Science, Fudan University, Shanghai;Department of Computer Science, Fudan University, Shanghai;Department of Computer Science, Fudan University, Shanghai
Venue:
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Year:
2004

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Abstract

Open Domain Question Answering (QA) represents an advanced application of natural language processing. We develop a novel pattern based method for implementing answer extraction in QA. For each type of question, the corresponding answer patterns can be learned from the Web automatically. Given a new question, these answer patterns can be applied to find the answer. Although many other QA systems have used pattern based method, however, it is noteworthy that our method has been implemented automatically and it can handle the problem other system failed, and satisfactory results have been achieved. Finally, we give a performance analysis of this approach using the TREC-11 question set.