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        <title>Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model</title>
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        <namePart type="given">Jiangming</namePart>
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        <dateIssued>2019-may</dateIssued>
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            <title>Proceedings of the IWCS Shared Task on Semantic Parsing</title>
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    <abstract>We describe the systems we developed for Discourse Representation Structure (DRS) parsing as part of the IWCS-2019 Shared Task of DRS Parsing.1 Our systems are based on sequence-to-sequence modeling. To implement our model, we use the open-source neural machine translation system implemented in PyTorch, OpenNMT-py. We experimented with a variety of encoder-decoder models based on recurrent neural networks and the Transformer model. We conduct experiments on the standard benchmark of the Parallel Meaning Bank (PMB 2.2). Our best system achieves a score of 84.8% F1 in the DRS parsing shared task.</abstract>
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    <identifier type="doi">10.18653/v1/W19-1203</identifier>
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%0 Conference Proceedings
%T Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model
%A Liu, Jiangming
%A Cohen, Shay B.
%A Lapata, Mirella
%S Proceedings of the IWCS Shared Task on Semantic Parsing
%D 2019
%8 may
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F liu-etal-2019-discourse-representation
%X We describe the systems we developed for Discourse Representation Structure (DRS) parsing as part of the IWCS-2019 Shared Task of DRS Parsing.1 Our systems are based on sequence-to-sequence modeling. To implement our model, we use the open-source neural machine translation system implemented in PyTorch, OpenNMT-py. We experimented with a variety of encoder-decoder models based on recurrent neural networks and the Transformer model. We conduct experiments on the standard benchmark of the Parallel Meaning Bank (PMB 2.2). Our best system achieves a score of 84.8% F1 in the DRS parsing shared task.
%R 10.18653/v1/W19-1203
%U https://aclanthology.org/W19-1203
%U https://doi.org/10.18653/v1/W19-1203

Markdown (Informal)

[Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model](https://aclanthology.org/W19-1203) (Liu et al., 2019)

• Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model (Liu et al., 2019)

ACL

• Jiangming Liu, Shay B. Cohen, and Mirella Lapata. 2019. Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model. In Proceedings of the IWCS Shared Task on Semantic Parsing, Gothenburg, Sweden. Association for Computational Linguistics.