Text Retrieval Oriented Auto-construction of Conceptual Relationship

Authors:
Yi Hu;Ruzhan Lu;Yuquan Chen;Bingzhen Pei
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China and School of Computer Science and Engineering, Guizhou University, Guiyang, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

The dependence analysis is usually the key for improving the performance of text retrieval. Compared with the statistical value of a conceptual relationship, the recognition of relation type between concepts is more meaningful. In this paper, we explored a bootstrapping method for automatically extracting semantic patterns from a large-scale corpus to identify the geographical "is part of" relationship between Chinese location concepts. The experiments showed that the pattern set generated by our method achieves higher coverage and precision than DIPRE does.