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arXiv · 1703.04929

SyntaxNet Models for the CoNLL 2017 Shared Task

Chris Alberti·Daniel Andor·Ivan Bogatyy·Michael Collins·Dan Gillick·Lingpeng Kong·Terry Koo·Ji Ma·Mark Omernick·Slav Petrov·Chayut Thanapirom·Zora Tung·David Weiss
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Abstract

We describe a baseline dependency parsing system for the CoNLL2017 Shared Task. This system, which we call "ParseySaurus," uses the DRAGNN framework [Kong et al, 2017] to combine transition-based recurrent parsing and tagging with character-based word representations. On the v1.3 Universal Dependencies Treebanks, the new system outpeforms the publicly available, state-of-the-art "Parsey's Cousins" models by 3.47% absolute Labeled Accuracy Score (LAS) across 52 treebanks.

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Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss. 2017-03-15. SyntaxNet Models for the CoNLL 2017 Shared Task. https://arxiv.org/abs/1703.04929

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