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        <namePart type="given">Thien</namePart>
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    <abstract>Exploiting sentence-level labels, which are easy to obtain, is one of the plausible methods to improve low-resource named entity recognition (NER), where token-level labels are costly to annotate. Current models for jointly learning sentence and token labeling are limited to binary classification. We present a joint model that supports multi-class classification and introduce a simple variant of self-attention that allows the model to learn scaling factors. Our model produces 3.78%, 4.20%, 2.08% improvements in F1 over the BiLSTM-CRF baseline on e-commerce product titles in three different low-resource languages: Vietnamese, Thai, and Indonesian, respectively.</abstract>
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%0 Conference Proceedings
%T Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
%A Kruengkrai, Canasai
%A Nguyen, Thien Hai
%A Aljunied, Sharifah Mahani
%A Bing, Lidong
%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 kruengkrai-etal-2020-improving
%X Exploiting sentence-level labels, which are easy to obtain, is one of the plausible methods to improve low-resource named entity recognition (NER), where token-level labels are costly to annotate. Current models for jointly learning sentence and token labeling are limited to binary classification. We present a joint model that supports multi-class classification and introduce a simple variant of self-attention that allows the model to learn scaling factors. Our model produces 3.78%, 4.20%, 2.08% improvements in F1 over the BiLSTM-CRF baseline on e-commerce product titles in three different low-resource languages: Vietnamese, Thai, and Indonesian, respectively.
%R 10.18653/v1/2020.acl-main.523
%U https://aclanthology.org/2020.acl-main.523
%U https://doi.org/10.18653/v1/2020.acl-main.523
%P 5898-5905

Markdown (Informal)

[Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling](https://aclanthology.org/2020.acl-main.523) (Kruengkrai et al., ACL 2020)

• Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling (Kruengkrai et al., ACL 2020)

ACL

• Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied, and Lidong Bing. 2020. Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 5898–5905, Online. Association for Computational Linguistics.