TY - GEN
T1 - CAMR at SemEval-2016 task 8
T2 - 10th International Workshop on Semantic Evaluation, SemEval 2016
AU - Wang, Chuan
AU - Pradhan, Sameer
AU - Xue, Nianwen
AU - Pan, Xiaoman
AU - Ji, Heng
N1 - Publisher Copyright:
© 2016 Association for Computational Linguistics.
PY - 2016
Y1 - 2016
N2 - This paper describes CAMR, the transitionbased parser that we use in the SemEval-2016 Meaning Representation Parsing task. The main contribution of this paper is a description of the additional sources of information that we use as features in the parsing model to further boost its performance. We start with our existing AMR parser and experiment with three sets of new features: 1) rich named entities, 2) a verbalization list, 3) semantic role labels. We also use the RPI Wikifier to wikify the concepts in the AMR graph. Our parser achieves a Smatch F-score of 62% on the official blind test set.
AB - This paper describes CAMR, the transitionbased parser that we use in the SemEval-2016 Meaning Representation Parsing task. The main contribution of this paper is a description of the additional sources of information that we use as features in the parsing model to further boost its performance. We start with our existing AMR parser and experiment with three sets of new features: 1) rich named entities, 2) a verbalization list, 3) semantic role labels. We also use the RPI Wikifier to wikify the concepts in the AMR graph. Our parser achieves a Smatch F-score of 62% on the official blind test set.
UR - http://www.scopus.com/inward/record.url?scp=85021689454&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021689454&partnerID=8YFLogxK
U2 - 10.18653/v1/s16-1181
DO - 10.18653/v1/s16-1181
M3 - Conference contribution
AN - SCOPUS:85021689454
T3 - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
SP - 1173
EP - 1178
BT - SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
PB - Association for Computational Linguistics (ACL)
Y2 - 16 June 2016 through 17 June 2016
ER -