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        <title>Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge</title>
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        <namePart type="given">Keqing</namePart>
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            <namePart type="given">Dan</namePart>
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    <abstract>Neural-based context-aware models for slot tagging have achieved state-of-the-art performance. However, the presence of OOV(out-of-vocab) words significantly degrades the performance of neural-based models, especially in a few-shot scenario. In this paper, we propose a novel knowledge-enhanced slot tagging model to integrate contextual representation of input text and the large-scale lexical background knowledge. Besides, we use multi-level graph attention to explicitly model lexical relations. The experiments show that our proposed knowledge integration mechanism achieves consistent improvements across settings with different sizes of training data on two public benchmark datasets.</abstract>
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%0 Conference Proceedings
%T Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
%A He, Keqing
%A Yan, Yuanmeng
%A Xu, Weiran
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F he-etal-2020-learning-tag
%X Neural-based context-aware models for slot tagging have achieved state-of-the-art performance. However, the presence of OOV(out-of-vocab) words significantly degrades the performance of neural-based models, especially in a few-shot scenario. In this paper, we propose a novel knowledge-enhanced slot tagging model to integrate contextual representation of input text and the large-scale lexical background knowledge. Besides, we use multi-level graph attention to explicitly model lexical relations. The experiments show that our proposed knowledge integration mechanism achieves consistent improvements across settings with different sizes of training data on two public benchmark datasets.
%R 10.18653/v1/2020.acl-main.58
%U https://aclanthology.org/2020.acl-main.58
%U https://doi.org/10.18653/v1/2020.acl-main.58
%P 619-624

Markdown (Informal)

[Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge](https://aclanthology.org/2020.acl-main.58) (He et al., ACL 2020)

• Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge (He et al., ACL 2020)

ACL

• Keqing He, Yuanmeng Yan, and Weiran Xu. 2020. Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 619–624, Online. Association for Computational Linguistics.