End-to-End Chinese Parsing Exploiting Lexicons

• URL: http://arxiv.org/abs/2012.04395v1
• Date: Tue, 8 Dec 2020 12:24:36 GMT
• Title: End-to-End Chinese Parsing Exploiting Lexicons
• Authors: Yuan Zhang, Zhiyang Teng, Yue Zhang
• Abstract summary: We propose an end-to-end Chinese parsing model based on character inputs which jointly learns to output word segmentation, part-of-speech tags and dependency structures. Our parsing model relies on word-char graph attention networks, which can enrich the character inputs with external word knowledge.
• Score: 15.786281545363448
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules. In this paper, we propose an end-to-end Chinese parsing model based on character inputs which jointly learns to output word segmentation, part-of-speech tags and dependency structures. In particular, our parsing model relies on word-char graph attention networks, which can enrich the character inputs with external word knowledge. Experiments on three Chinese parsing benchmark datasets show the effectiveness of our models, achieving the state-of-the-art results on end-to-end Chinese parsing.

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