TY - GEN
T1 - Semi-supervised relation extraction with large-scale word clustering
AU - Sun, Ang
AU - Grishman, Ralph
AU - Sekine, Satoshi
PY - 2011
Y1 - 2011
N2 - We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for selecting clusters at an appropriate level of granularity. When training on different sizes of data, our semi-supervised approach consistently outperformed a state-of-the-art supervised baseline system.
AB - We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for selecting clusters at an appropriate level of granularity. When training on different sizes of data, our semi-supervised approach consistently outperformed a state-of-the-art supervised baseline system.
UR - http://www.scopus.com/inward/record.url?scp=84859074855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859074855&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84859074855
SN - 9781932432879
T3 - ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
SP - 521
EP - 529
BT - ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics
T2 - 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011
Y2 - 19 June 2011 through 24 June 2011
ER -