2020
ACL
ACL 2020
A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle
Abstract
AbstractThis 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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Keyword Pioneer
— shift-reduce parser
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Cross-Pollinator
— Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
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Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
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Hot Topic Early Bird
— text encoder
Authors
Topics
Machine Learning > Learning Types > Unsupervised Learning
Natural Language Processing > Understanding > Parsing
Natural Language Processing > Understanding > Syntax
Deep Learning > Techniques > Self-Supervised Learning
Machine Learning > Learning Types > Data Augmentation
Natural Language Processing > Applications > Semantic Analysis