The HIT-SCIR System for End-to-End Parsing of Universal Dependencies

Wanxiang Che; Jiang Guo; Yuxuan Wang; Bo Zheng; Huaipeng Zhao; Yang Liu; Dechuan Teng; Ting Liu

2017 CoNLL CoNLL 2017

The HIT-SCIR System for End-to-End Parsing of Universal Dependencies

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu

Topics

Deep Learning > Architectures > Neural Networks Natural Language Processing > Understanding > Parsing

Keywords

universal dependencies model transfer bidirectional lstm transition-based parsing

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