TY - GEN
T1 - Improving semantic role labeling with word sense
AU - Che, Wanxiang
AU - Liu, Ting
AU - Li, Yongqiang
PY - 2010
Y1 - 2010
N2 - Semantic role labeling (SRL) not only needs lexical and syntactic information, but also needs word sense information. However, because of the lack of corpus annotated with both word senses and semantic roles, there is few research on using word sense for SRL. The release of OntoNotes provides an opportunity for us to study how to use word sense for SRL. In this paper, we present some novel word sense features for SRL and find that they can improve the performance significantly.
AB - Semantic role labeling (SRL) not only needs lexical and syntactic information, but also needs word sense information. However, because of the lack of corpus annotated with both word senses and semantic roles, there is few research on using word sense for SRL. The release of OntoNotes provides an opportunity for us to study how to use word sense for SRL. In this paper, we present some novel word sense features for SRL and find that they can improve the performance significantly.
UR - https://www.scopus.com/pages/publications/84863337803
M3 - 会议稿件
AN - SCOPUS:84863337803
SN - 1932432655
SN - 9781932432657
T3 - NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference
SP - 246
EP - 249
BT - NAACL HLT 2010 - Human Language Technologies
T2 - 2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010
Y2 - 2 June 2010 through 4 June 2010
ER -