TY - GEN
T1 - FISER
T2 - 8th Asia Information Retrieval Societies Conference, AIRS 2012
AU - Chang, Yung Chun
AU - Chuang, Pi Hua
AU - Chen, Chien Chin
AU - Hsu, Wen Lian
PY - 2012
Y1 - 2012
N2 - Discovering the interactions between the persons mentioned in a set of topic documents can help readers construct the background of the topic and facilitate document comprehension. To discover person interactions, we need a detection method that can identify text segments containing information about the interactions. Information extraction algorithms then analyze the segments to extract interaction tuples and construct an interaction network of topic persons. In this paper, we define interaction detection as a classification problem. The proposed interaction detection method, called FISER, exploits nineteen features covering syntactic, context-dependent, and semantic information in text to detect interactive segments in topic documents. Empirical evaluations demonstrate the efficacy of FISER, and show that it significantly outperforms many well-known Open IE methods.
AB - Discovering the interactions between the persons mentioned in a set of topic documents can help readers construct the background of the topic and facilitate document comprehension. To discover person interactions, we need a detection method that can identify text segments containing information about the interactions. Information extraction algorithms then analyze the segments to extract interaction tuples and construct an interaction network of topic persons. In this paper, we define interaction detection as a classification problem. The proposed interaction detection method, called FISER, exploits nineteen features covering syntactic, context-dependent, and semantic information in text to detect interactive segments in topic documents. Empirical evaluations demonstrate the efficacy of FISER, and show that it significantly outperforms many well-known Open IE methods.
KW - Information extraction
KW - Interactive segment
KW - Topic person interaction
UR - http://www.scopus.com/inward/record.url?scp=84871535556&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871535556&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-35341-3_23
DO - 10.1007/978-3-642-35341-3_23
M3 - Conference contribution
AN - SCOPUS:84871535556
SN - 9783642353406
VL - 7675 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 275
EP - 285
BT - Information Retrieval Technology - 8th Asia Information Retrieval Societies Conference, AIRS 2012, Proceedings
Y2 - 17 December 2012 through 19 December 2012
ER -