A composite kernel approach for detecting interactive segments in Chinese topic documents

Yung Chun Chang; Chien Chin Chen; Wen Lian Hsu

doi:10.1007/978-3-642-45068-6_19

A composite kernel approach for detecting interactive segments in Chinese topic documents

Yung Chun Chang, Chien Chin Chen, Wen Lian Hsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Discovering the interactions between persons mentioned in a set of topic documents can help readers construct the background of a topic and facilitate comprehension. In this paper, we propose a rich interactive tree structure to represent syntactic, content, and semantic information in text. We also present a composite kernel classification method that integrates the tree structure with a bigram kernel to identify text segments that mention person interactions in topic documents. Empirical evaluations demonstrate that the proposed tree structure and bigram kernel are effective and the composite kernel approach outperforms well-known relation extraction and PPI methods.

Original language	English
Title of host publication	Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
Pages	215-226
Number of pages	12
Volume	8281 LNCS
DOIs	https://doi.org/10.1007/978-3-642-45068-6_19
Publication status	Published - 2013
Externally published	Yes
Event	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 - Singapore, Singapore Duration: Dec 9 2013 → Dec 11 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8281 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
Country/Territory	Singapore
City	Singapore
Period	12/9/13 → 12/11/13

Keywords

Composite Kernel
Interaction Detection
Rich Interactive Tree
Topic Mining

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-45068-6_19

Cite this

Chang, Y. C., Chen, C. C., & Hsu, W. L. (2013). A composite kernel approach for detecting interactive segments in Chinese topic documents. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings (Vol. 8281 LNCS, pp. 215-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS). https://doi.org/10.1007/978-3-642-45068-6_19

A composite kernel approach for detecting interactive segments in Chinese topic documents. / Chang, Yung Chun; Chen, Chien Chin; Hsu, Wen Lian.
Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. Vol. 8281 LNCS 2013. p. 215-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chang, YC, Chen, CC & Hsu, WL 2013, A composite kernel approach for detecting interactive segments in Chinese topic documents. in Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. vol. 8281 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8281 LNCS, pp. 215-226, 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013, Singapore, Singapore, 12/9/13. https://doi.org/10.1007/978-3-642-45068-6_19

Chang YC, Chen CC, Hsu WL. A composite kernel approach for detecting interactive segments in Chinese topic documents. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. Vol. 8281 LNCS. 2013. p. 215-226. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-45068-6_19

Chang, Yung Chun ; Chen, Chien Chin ; Hsu, Wen Lian. / A composite kernel approach for detecting interactive segments in Chinese topic documents. Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. Vol. 8281 LNCS 2013. pp. 215-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - Discovering the interactions between persons mentioned in a set of topic documents can help readers construct the background of a topic and facilitate comprehension. In this paper, we propose a rich interactive tree structure to represent syntactic, content, and semantic information in text. We also present a composite kernel classification method that integrates the tree structure with a bigram kernel to identify text segments that mention person interactions in topic documents. Empirical evaluations demonstrate that the proposed tree structure and bigram kernel are effective and the composite kernel approach outperforms well-known relation extraction and PPI methods.

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A composite kernel approach for detecting interactive segments in Chinese topic documents

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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