TY - GEN
T1 - A composite kernel approach for detecting interactive segments in Chinese topic documents
AU - Chang, Yung Chun
AU - Chen, Chien Chin
AU - Hsu, Wen Lian
PY - 2013
Y1 - 2013
N2 - 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.
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.
KW - Composite Kernel
KW - Interaction Detection
KW - Rich Interactive Tree
KW - Topic Mining
UR - http://www.scopus.com/inward/record.url?scp=84893339136&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893339136&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-45068-6_19
DO - 10.1007/978-3-642-45068-6_19
M3 - Conference contribution
AN - SCOPUS:84893339136
SN - 9783642450679
VL - 8281 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 215
EP - 226
BT - Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
T2 - 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
Y2 - 9 December 2013 through 11 December 2013
ER -