Paper Info
Title
The research on query expansion for chinese question answering system
Abstract
In document retrieval, expanding query with words that are semantically related or frequently co-occur can get good performance. In Chinese question answering system, in order to improve answer-document retrieval precision, query expansion is also necessary. Aiming at the specialty of Chinese question answering system, a method of query expansion based on related words for specific question types and synonym in HowNet is proposed. A computing method of similarity between questions and documents based on minimal matching span is presented. This method is based on vector space model, and also fully considers the position information of query words and query expansion words in the documents. Finally, the experiment results show that the effect of expanding query makes better than unexpanded one.
Year
DOI
Venue
2005
null
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Keywords
Field
DocType
specific question type,related word,answer-document retrieval precision,computing method,experiment result,query word,chinese question answering system,document retrieval,query expansion word,query expansion,vector space model,question answering system
Query optimization,Web search query,RDF query language,Query language,Query expansion,Information retrieval,Computer science,Sargable,Web query classification,Ranking (information retrieval)
Conference
Volume
Issue
ISSN
3613 LNAI
null
16113349
ISBN
Citations 
PageRank 
3-540-28312-9
1
0.38
References 
Authors
3
4
Name
Order
Citations
PageRank
Zhengtao Yu146069.08
Xiao-zhong Fan2708.22
Lirong Song332.19
Jianyi Guo42010.99