Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach

摘要：

We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem,aiming to assign appropriate weights for candidate expansion terms,which are selected from WordNet and ConceptNet by performing spreading activation.This transformation benefits us to automatically combine various features.The experimental results show that our approach successfully combines WordNet and ConceptNet and improves retrieval performance.We also investigated the relationship between query difficulty and effectiveness of our approach.The results show that query expansion utilizing the two resources obtains the largest improving effect upon queries of medium difficulty.

关键词： Query Difficulty Query Expansion WordNet ConceptNet

作者: Ming-Hung Hsu Ming-Feng Tsai Hsin-Hsi Chen

作者单位: Department of Computer Science and Information Engineering National Taiwan University Taipei,Taiwan

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: 213-224

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）