TY - GEN
T1 - SPIRIT
T2 - 33rd IEEE International Conference on Data Engineering, ICDE 2017
AU - Chang, Yung Chun
AU - Chen, Chien Chin
AU - Hsu, Wen Lian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/16
Y1 - 2017/5/16
N2 - In this paper, we investigate the interactions between topic persons to help readers construct the background knowledge of a topic. We proposed a rich interactive tree structure to represent syntactic, context, and semantic information of text, and this structure is incorporated into a treebased convolution kernel to identify segments that convey person interactions and further construct person interaction networks. Empirical evaluations demonstrate that the proposed method is effective in detecting and extracting the interactions between topic persons in the text, and outperforms other extraction approaches used for comparison. Furthermore, readers will be able to easily navigate through the topic persons of interest within the interaction networks, and further construct the background knowledge of the topic to facilitate comprehension.
AB - In this paper, we investigate the interactions between topic persons to help readers construct the background knowledge of a topic. We proposed a rich interactive tree structure to represent syntactic, context, and semantic information of text, and this structure is incorporated into a treebased convolution kernel to identify segments that convey person interactions and further construct person interaction networks. Empirical evaluations demonstrate that the proposed method is effective in detecting and extracting the interactions between topic persons in the text, and outperforms other extraction approaches used for comparison. Furthermore, readers will be able to easily navigate through the topic persons of interest within the interaction networks, and further construct the background knowledge of the topic to facilitate comprehension.
UR - http://www.scopus.com/inward/record.url?scp=85021249385&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021249385&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2017.13
DO - 10.1109/ICDE.2017.13
M3 - Conference contribution
AN - SCOPUS:85021249385
T3 - Proceedings - International Conference on Data Engineering
SP - 13
EP - 14
BT - Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017
PB - IEEE Computer Society
Y2 - 19 April 2017 through 22 April 2017
ER -