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        <title>Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing</title>
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            <title>Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies</title>
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    <abstract>This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Our system predicts the part-of-speech tag and dependency tree jointly. For the basic tasks, including tokenization, lemmatization and morphology prediction, we employ the official baseline model (UDPipe). To train the low-resource languages, we adopt a sampling method based on other richresource languages. Our system achieves a macro-average of 68.31% LAS F1 score, with an improvement of 2.51% compared with the UDPipe.</abstract>
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%0 Conference Proceedings
%T Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
%A Li, Zuchao
%A He, Shexia
%A Zhang, Zhuosheng
%A Zhao, Hai
%Y Zeman, Daniel
%Y Hajič, Jan
%S Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F li-etal-2018-joint-learning
%X This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Our system predicts the part-of-speech tag and dependency tree jointly. For the basic tasks, including tokenization, lemmatization and morphology prediction, we employ the official baseline model (UDPipe). To train the low-resource languages, we adopt a sampling method based on other richresource languages. Our system achieves a macro-average of 68.31% LAS F1 score, with an improvement of 2.51% compared with the UDPipe.
%R 10.18653/v1/K18-2006
%U https://aclanthology.org/K18-2006
%U https://doi.org/10.18653/v1/K18-2006
%P 65-73

Markdown (Informal)

[Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing](https://aclanthology.org/K18-2006) (Li et al., CoNLL 2018)

• Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing (Li et al., CoNLL 2018)

ACL

• Zuchao Li, Shexia He, Zhuosheng Zhang, and Hai Zhao. 2018. Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 65–73, Brussels, Belgium. Association for Computational Linguistics.