Finding Arguments as Sequence Labeling in Discourse Parsing
Ziwei Fan, Zhenghua Li, Min Zhang · 2016
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.