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        <title>UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder</title>
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            <namePart type="family">May</namePart>
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    <abstract>We present an encoder-decoder model for semantic parsing with UCCA SemEval 2019 Task 1. The encoder is a Bi-LSTM and the decoder uses recursive self-attention. The proposed model alleviates challenges and feature engineering in traditional transition-based and graph-based parsers. The resulting parser is simple and proved to effective on the semantic parsing task.</abstract>
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%0 Conference Proceedings
%T UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder
%A Yu, Dian
%A Sagae, Kenji
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F yu-sagae-2019-uc
%X We present an encoder-decoder model for semantic parsing with UCCA SemEval 2019 Task 1. The encoder is a Bi-LSTM and the decoder uses recursive self-attention. The proposed model alleviates challenges and feature engineering in traditional transition-based and graph-based parsers. The resulting parser is simple and proved to effective on the semantic parsing task.
%R 10.18653/v1/S19-2017
%U https://aclanthology.org/S19-2017
%U https://doi.org/10.18653/v1/S19-2017
%P 119-124

Markdown (Informal)

[UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder](https://aclanthology.org/S19-2017) (Yu & Sagae, SemEval 2019)

• UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder (Yu & Sagae, SemEval 2019)

ACL

• Dian Yu and Kenji Sagae. 2019. UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 119–124, Minneapolis, Minnesota, USA. Association for Computational Linguistics.