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%0 Conference Proceedings
%T MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain
%A Schrader, Timo Pierre
%A Finco, Matteo
%A Grünewald, Stefan
%A Hildebrand, Felix
%A Friedrich, Annemarie
%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 schrader-etal-2023-mulms-multi
%R 10.18653/v1/2023.wiesp-1.11
%U https://aclanthology.org/2023.wiesp-1.11
%U https://doi.org/10.18653/v1/2023.wiesp-1.11
%P 84-100

Markdown (Informal)

[MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain](https://aclanthology.org/2023.wiesp-1.11) (Schrader et al., WIESP-WS 2023)

• MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain (Schrader et al., WIESP-WS 2023)

ACL

• Timo Pierre Schrader, Matteo Finco, Stefan Grünewald, Felix Hildebrand, and Annemarie Friedrich. 2023. MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain. In Proceedings of the Second Workshop on Information Extraction from Scientific Publications, pages 84–100, Bali, Indonesia. Association for Computational Linguistics.