Semantic Pattern based Dependency Matching for Exact Answer Retrieval

摘要：

In this paper, we retrieve exact answer from a question/answer pair based on semantic pattern and dependency matching. Question target and the weight information of main phrase are gained from semantic pattern. Candidate exact answers to a question are retrieved from its corresponding sentence-form answer by dependency relation matching. A probabilistic model, in which weight information is included, is then adopted to select the most appropriate one. The semantic correctness of selected exact answer can be validated by question target. Our experiments achieve almost an accuracy of 70％ in the open domain and 80％ in the medicine domain.

作者: Liu Xiaoli Dawei Hu Min Feng Liu Wenyin

作者单位: Department of Computer Science, City University of Hong Kong

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）