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%0 Conference Proceedings
%T Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts
%A Bölücü, Necva
%A Rybinski, Maciej
%A Wan, Stephen
%Y Ghosal, Tirthankar
%Y Grezes, Felix
%Y Allen, Thomas
%Y Lockhart, Kelly
%Y Accomazzi, Alberto
%Y Blanco-Cuaresma, Sergi
%S Proceedings of the Second Workshop on Information Extraction from Scientific Publications
%D 2023
%8 November
%I Association for Computational Linguistics
%C Bali, Indonesia
%F bolucu-etal-2023-investigating
%R 10.18653/v1/2023.wiesp-1.1
%U https://aclanthology.org/2023.wiesp-1.1
%U https://doi.org/10.18653/v1/2023.wiesp-1.1
%P 1-13

Markdown (Informal)

[Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts](https://aclanthology.org/2023.wiesp-1.1) (Bölücü et al., WIESP-WS 2023)

• Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts (Bölücü et al., WIESP-WS 2023)

ACL

• Necva Bölücü, Maciej Rybinski, and Stephen Wan. 2023. Investigating the Impact of Syntax-Enriched Transformers on Quantity Extraction in Scientific Texts. In Proceedings of the Second Workshop on Information Extraction from Scientific Publications, pages 1–13, Bali, Indonesia. Association for Computational Linguistics.