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        <title>The Role of Global and Local Context in Named Entity Recognition</title>
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    <abstract>Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER). As the complexity of their self-attention mechanism prevents them from processing long documents at once, these models are usually applied in a sequential fashion. Such an approach unfortunately only incorporates local context and prevents leveraging global document context in long documents such as novels, which might hinder performance. In this article, we explore the impact of global document context, and its relationships with local context. We find that correctly retrieving global document context has a greater impact on performance than only leveraging local context, prompting for further research on how to better retrieve that context.</abstract>
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%0 Conference Proceedings
%T The Role of Global and Local Context in Named Entity Recognition
%A Amalvy, Arthur
%A Labatut, Vincent
%A Dufour, Richard
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F amalvy-etal-2023-role
%X Pre-trained transformer-based models have recently shown great performance when applied to Named Entity Recognition (NER). As the complexity of their self-attention mechanism prevents them from processing long documents at once, these models are usually applied in a sequential fashion. Such an approach unfortunately only incorporates local context and prevents leveraging global document context in long documents such as novels, which might hinder performance. In this article, we explore the impact of global document context, and its relationships with local context. We find that correctly retrieving global document context has a greater impact on performance than only leveraging local context, prompting for further research on how to better retrieve that context.
%R 10.18653/v1/2023.acl-short.62
%U https://aclanthology.org/2023.acl-short.62
%U https://doi.org/10.18653/v1/2023.acl-short.62
%P 714-722

Markdown (Informal)

[The Role of Global and Local Context in Named Entity Recognition](https://aclanthology.org/2023.acl-short.62) (Amalvy et al., ACL 2023)

• The Role of Global and Local Context in Named Entity Recognition (Amalvy et al., ACL 2023)

ACL

• Arthur Amalvy, Vincent Labatut, and Richard Dufour. 2023. The Role of Global and Local Context in Named Entity Recognition. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 714–722, Toronto, Canada. Association for Computational Linguistics.