Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks

Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order information in many graph learning tasks. Inspir...

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Main Authors: Bin Li, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao, Yaocheng Gui
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Applied Sciences
Assuntos:
semantic dependency parsing
higher-order information
graph neural networks
graph convolutional network
graph attention network
biaffine attention network
Acesso em linha:https://www.mdpi.com/2076-3417/12/8/4089
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