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    <name type="personal">
        <namePart type="given">Seung-Hoon</namePart>
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            <title>Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning</title>
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    <abstract>This paper describes Jeonbuk National University (JBNU)‘s system for the 2019 shared task on Cross-Framework Meaning Representation Parsing (MRP 2019) at the Conference on Computational Natural Language Learning. Of the five frameworks, we address only the DELPH-IN MRS Bi-Lexical Dependencies (DP), Prague Semantic Dependencies (PSD), and Universal Conceptual Cognitive Annotation (UCCA) frameworks. We propose a unified parsing model using biaffine attention (Dozat and Manning, 2017), consisting of 1) a BERT-BiLSTM encoder and 2) a biaffine attention decoder. First, the BERT-BiLSTM for sentence encoder uses BERT to compose a sentence‘s wordpieces into word-level embeddings and subsequently applies BiLSTM to word-level representations. Second, the biaffine attention decoder determines the scores for an edge‘s existence and its labels based on biaffine attention functions between roledependent representations. We also present multi-level biaffine attention models by combining all the role-dependent representations that appear at multiple intermediate layers.</abstract>
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    <identifier type="doi">10.18653/v1/K19-2009</identifier>
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%0 Conference Proceedings
%T JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing
%A Na, Seung-Hoon
%A Min, Jinwoon
%A Park, Kwanghyeon
%A Shin, Jong-Hun
%A Kim, Young-Kil
%Y Oepen, Stephan
%Y Abend, Omri
%Y Hajic, Jan
%Y Hershcovich, Daniel
%Y Kuhlmann, Marco
%Y O’Gorman, Tim
%Y Xue, Nianwen
%S Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong
%F na-etal-2019-jbnu
%X This paper describes Jeonbuk National University (JBNU)‘s system for the 2019 shared task on Cross-Framework Meaning Representation Parsing (MRP 2019) at the Conference on Computational Natural Language Learning. Of the five frameworks, we address only the DELPH-IN MRS Bi-Lexical Dependencies (DP), Prague Semantic Dependencies (PSD), and Universal Conceptual Cognitive Annotation (UCCA) frameworks. We propose a unified parsing model using biaffine attention (Dozat and Manning, 2017), consisting of 1) a BERT-BiLSTM encoder and 2) a biaffine attention decoder. First, the BERT-BiLSTM for sentence encoder uses BERT to compose a sentence‘s wordpieces into word-level embeddings and subsequently applies BiLSTM to word-level representations. Second, the biaffine attention decoder determines the scores for an edge‘s existence and its labels based on biaffine attention functions between roledependent representations. We also present multi-level biaffine attention models by combining all the role-dependent representations that appear at multiple intermediate layers.
%R 10.18653/v1/K19-2009
%U https://aclanthology.org/K19-2009/
%U https://doi.org/10.18653/v1/K19-2009
%P 95-103

Markdown (Informal)

[JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing](https://aclanthology.org/K19-2009/) (Na et al., CoNLL 2019)

• JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing (Na et al., CoNLL 2019)

ACL

• Seung-Hoon Na, Jinwoon Min, Kwanghyeon Park, Jong-Hun Shin, and Young-Kil Kim. 2019. JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing. In Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, pages 95–103, Hong Kong. Association for Computational Linguistics.