Using Multiple Combined Ranker for Answering Definitional Questions

摘要：

This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions,Generally,our MCR approach first extracts question target-related knowledge as much as possible,then using this knowledge to pick up appropriate question answers.The knowledge includes both online definitions and related terms (RT).In our system,extraction of related terms is different from traditional methods which are largely based on calculating the co-occurred frequency of target words.We adopted the significance of sentences and documents,from which RT were extracted.The MCR approach shows state-in-art performance in handling with increasingly complex definitional questions.

关键词： Definitional question answering Multiple Combined Ranker Related Terms Extraction

作者: Junkuo Cao Lide Wu Xuanjing Huang Yaqian Zhou Fei Liu

作者单位: Fudan University,Shang Hai,China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 448-453

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）