Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings

Xinyu Wang; Zixia Jia; Yong Jiang; Kewei Tu

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arXiv · 2107.02416

Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings

Xinyu Wang·Zixia Jia·Yong Jiang·Kewei Tu

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Abstract

This paper describes the system used in submission from SHANGHAITECH team to the IWPT 2021 Shared Task. Our system is a graph-based parser with the technique of Automated Concatenation of Embeddings (ACE). Because recent work found that better word representations can be obtained by concatenating different types of embeddings, we use ACE to automatically find the better concatenation of embeddings for the task of enhanced universal dependencies. According to official results averaged on 17 languages, our system ranks 2nd over 9 teams.

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Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu. 2021-07-06. Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings. https://arxiv.org/abs/2107.02416

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