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

Yung Chun Chang, Chien Chin Chen, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
主出版物標題Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
頁面215-226
頁數12
8281 LNCS
DOIs
出版狀態已發佈 - 2013
對外發佈Yes
事件9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 - Singapore, 新加坡
持續時間: 十二月 9 2013十二月 11 2013

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8281 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
國家新加坡
城市Singapore
期間12/9/1312/11/13

    指紋

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

引用此

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