A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle
Shyh-Shiun Hung, Hen-Hsen Huang, Hsin-Hsi Chen
Discourse and Pragmatics Short Paper
Session 1A: Jul 6
(05:00-06:00 GMT)
Session 3B: Jul 6
(13:00-14:00 GMT)
Abstract:
This work proposes a standalone, complete Chinese discourse parser for practical applications. We approach Chinese discourse parsing from a variety of aspects and improve the shift-reduce parser not only by integrating the pre-trained text encoder, but also by employing novel training strategies. We revise the dynamic-oracle procedure for training the shift-reduce parser, and apply unsupervised data augmentation to enhance rhetorical relation recognition. Experimental results show that our Chinese discourse parser achieves the state-of-the-art performance.
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