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        <title>Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks</title>
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            <title>Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
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    <abstract>We present a system which parses sentences into Abstract Meaning Representations, improving state-of-the-art results for this task by more than 5%. AMR graphs represent semantic content using linguistic properties such as semantic roles, coreference, negation, and more. The AMR parser does not rely on a syntactic pre-parse, or heavily engineered features, and uses five recurrent neural networks as the key architectural components for inferring AMR graphs.</abstract>
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%0 Conference Proceedings
%T Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks
%A Foland, William
%A Martin, James H.
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F foland-martin-2017-abstract
%X We present a system which parses sentences into Abstract Meaning Representations, improving state-of-the-art results for this task by more than 5%. AMR graphs represent semantic content using linguistic properties such as semantic roles, coreference, negation, and more. The AMR parser does not rely on a syntactic pre-parse, or heavily engineered features, and uses five recurrent neural networks as the key architectural components for inferring AMR graphs.
%R 10.18653/v1/P17-1043
%U https://aclanthology.org/P17-1043
%U https://doi.org/10.18653/v1/P17-1043
%P 463-472

Markdown (Informal)

[Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks](https://aclanthology.org/P17-1043) (Foland & Martin, ACL 2017)

• Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks (Foland & Martin, ACL 2017)

ACL

• William Foland and James H. Martin. 2017. Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 463–472, Vancouver, Canada. Association for Computational Linguistics.