Shallow Discourse Parsing Using Convolutional Neural Network
Lianhui Qin, Zhisong Zhang, Hai Zhao · 2016
This paper describes a discourse parsing system for our participation in the CoNLL 2016 Shared Task.We focus on the supplementary task: Sense Classification, especially the Non-Explicit one which is the bottleneck of discourse parsing system.To improve Non-Explicit sense classification, we propose a Convolutional Neural Network (CNN) model to determine the senses for both English and Chinese tasks.We also explore a traditional linear model with novel dependency features for Explicit sense classification.Compared with the best system in CoNLL-2015, our system achieves competitive performances.Moreover, as shown in the results, our system has higher F1 score on Non-Explicit sense classification.