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        <title>Universal Dependency Parsing with a General Transition-Based DAG Parser</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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            <namePart type="given">Daniel</namePart>
            <namePart type="family">Zeman</namePart>
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            <namePart type="given">Jan</namePart>
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    <abstract>This paper presents our experiments with applying TUPA to the CoNLL 2018 UD shared task. TUPA is a general neural transition-based DAG parser, which we use to present the first experiments on recovering enhanced dependencies as part of the general parsing task. TUPA was designed for parsing UCCA, a cross-linguistic semantic annotation scheme, exhibiting reentrancy, discontinuity and non-terminal nodes. By converting UD trees and graphs to a UCCA-like DAG format, we train TUPA almost without modification on the UD parsing task. The generic nature of our approach lends itself naturally to multitask learning.</abstract>
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%0 Conference Proceedings
%T Universal Dependency Parsing with a General Transition-Based DAG Parser
%A Hershcovich, Daniel
%A Abend, Omri
%A Rappoport, Ari
%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 hershcovich-etal-2018-universal
%X This paper presents our experiments with applying TUPA to the CoNLL 2018 UD shared task. TUPA is a general neural transition-based DAG parser, which we use to present the first experiments on recovering enhanced dependencies as part of the general parsing task. TUPA was designed for parsing UCCA, a cross-linguistic semantic annotation scheme, exhibiting reentrancy, discontinuity and non-terminal nodes. By converting UD trees and graphs to a UCCA-like DAG format, we train TUPA almost without modification on the UD parsing task. The generic nature of our approach lends itself naturally to multitask learning.
%R 10.18653/v1/K18-2010
%U https://aclanthology.org/K18-2010
%U https://doi.org/10.18653/v1/K18-2010
%P 103-112

Markdown (Informal)

[Universal Dependency Parsing with a General Transition-Based DAG Parser](https://aclanthology.org/K18-2010) (Hershcovich et al., CoNLL 2018)

• Universal Dependency Parsing with a General Transition-Based DAG Parser (Hershcovich et al., CoNLL 2018)

ACL

• Daniel Hershcovich, Omri Abend, and Ari Rappoport. 2018. Universal Dependency Parsing with a General Transition-Based DAG Parser. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 103–112, Brussels, Belgium. Association for Computational Linguistics.