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        <title>Graph-based Dependency Parsing with Graph Neural Networks</title>
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    <abstract>We investigate the problem of efficiently incorporating high-order features into neural graph-based dependency parsing. Instead of explicitly extracting high-order features from intermediate parse trees, we develop a more powerful dependency tree node representation which captures high-order information concisely and efficiently. We use graph neural networks (GNNs) to learn the representations and discuss several new configurations of GNN’s updating and aggregation functions. Experiments on PTB show that our parser achieves the best UAS and LAS on PTB (96.0%, 94.3%) among systems without using any external resources.</abstract>
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%0 Conference Proceedings
%T Graph-based Dependency Parsing with Graph Neural Networks
%A Ji, Tao
%A Wu, Yuanbin
%A Lan, Man
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F ji-etal-2019-graph
%X We investigate the problem of efficiently incorporating high-order features into neural graph-based dependency parsing. Instead of explicitly extracting high-order features from intermediate parse trees, we develop a more powerful dependency tree node representation which captures high-order information concisely and efficiently. We use graph neural networks (GNNs) to learn the representations and discuss several new configurations of GNN’s updating and aggregation functions. Experiments on PTB show that our parser achieves the best UAS and LAS on PTB (96.0%, 94.3%) among systems without using any external resources.
%R 10.18653/v1/P19-1237
%U https://aclanthology.org/P19-1237
%U https://doi.org/10.18653/v1/P19-1237
%P 2475-2485

Markdown (Informal)

[Graph-based Dependency Parsing with Graph Neural Networks](https://aclanthology.org/P19-1237) (Ji et al., ACL 2019)

• Graph-based Dependency Parsing with Graph Neural Networks (Ji et al., ACL 2019)

ACL

• Tao Ji, Yuanbin Wu, and Man Lan. 2019. Graph-based Dependency Parsing with Graph Neural Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2475–2485, Florence, Italy. Association for Computational Linguistics.