TY - GEN
T1 - Finding arguments as sequence labeling in discourse parsing
AU - Fan, Ziwei
AU - Li, Zhenghua
AU - Zhang, Min
N1 - Publisher Copyright:
© 2016 Association for Computational Linguistics.
PY - 2016
Y1 - 2016
N2 - This paper describes our system for the CoNLL-2016 Shared Task on Shallow Discourse Parsing on English. We adopt a cascaded framework consisting of nine components, among which six are casted as sequence labeling tasks and the remaining three are treated as classification problems. All our sequence labeling and classification models are implemented based on linear models with averaged perceptron training. Our feature sets are mostly borrowed from previous works. The main focus of our effort is to recall cases when Arg1 locates at sentences far before the connective phrase, with some yet limited success.
AB - This paper describes our system for the CoNLL-2016 Shared Task on Shallow Discourse Parsing on English. We adopt a cascaded framework consisting of nine components, among which six are casted as sequence labeling tasks and the remaining three are treated as classification problems. All our sequence labeling and classification models are implemented based on linear models with averaged perceptron training. Our feature sets are mostly borrowed from previous works. The main focus of our effort is to recall cases when Arg1 locates at sentences far before the connective phrase, with some yet limited success.
UR - https://www.scopus.com/pages/publications/85072754628
U2 - 10.18653/v1/k16-2021
DO - 10.18653/v1/k16-2021
M3 - 会议稿件
AN - SCOPUS:85072754628
T3 - Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016
SP - 150
EP - 157
BT - Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
PB - Association for Computational Linguistics (ACL)
T2 - 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016
Y2 - 7 August 2016 through 12 August 2016
ER -