The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents-Reference-Cited by-同舟云学术

The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents

Published:2022 Issue: Volume: Page:400-407
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Li Yuan,Fang Biaoyan,He Jiayuan,Yoshikawa Hiyori,Akhondi Saber A.,Druckenbrodt Christian,Thorne Camilo,Zhai Zenan,Afzal Zubair,Cohn Trevor,Baldwin Timothy,Verspoor Karin^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99739-7_50

Reference16 articles.

1. Akhondi, S.A., et al.: Automatic identification of relevant chemical compounds from patents. Database 2019, baz001 (2019)

2. Bregonje, M.: Patents: a unique source for scientific technical information in chemistry related industry? World Patent Inf. 27(4), 309–315 (2005)

3. Fang, B., Druckenbrodt, C., Akhondi, S.A., He, J., Baldwin, T., Verspoor, K.M.: ChEMU-Ref: a corpus for modeling anaphora resolution in the chemical domain. In: Merlo, P., Tiedemann, J., Tsarfaty, R. (eds.) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, 19–23 April 2021, pp. 1362–1375. Association for Computational Linguistics (2021). https://www.aclweb.org/anthology/2021.eacl-main.116/

4. Lecture Notes in Computer Science;J He,2021

5. Lecture Notes in Computer Science;J He,2020

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