Query similarity computing based on system similarity measurement

Authors:
Chengzhi Zhang;Xiaoqin Xu;Xinning Su
Affiliations:
Department of Information Management of Nanjing University, Nanjing, China;Department of Information Management of Nanjing University, Nanjing, China;Department of Information Management of Nanjing University, Nanjing, China
Venue:
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Year:
2006

Citing 4
Cited 0

An approach to the automatic construction of global thesauri

Information Processing and Management: an International Journal
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL

EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Semantic computation in a Chinese question-answering system

Journal of Computer Science and Technology
Automatic retrieval and clustering of similar words

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

Query similarity computation is one of important factors in the process of query clustering. It has been used widely in the field of information processing. In this paper, a unified model for query similarity computation is presented based on system similarity. The novel approach of similarity computation uses the literal, semantic and statistical relative features of query. The method can take advantage of the normal approaches to improve the computation accuracy. Experiments show that the proposed method is an effective solution to the query similarity computation problem, and it can be generalized to measure the similarity of other components of text, such as sentences, paragraphs etc.