ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents

Author:

Nguyen Dat Quoc,Zhai Zenan,Yoshikawa Hiyori,Fang Biaoyan,Druckenbrodt Christian,Thorne Camilo,Hoessel Ralph,Akhondi Saber A.,Cohn Trevor,Baldwin Timothy,Verspoor Karin

Publisher

Springer International Publishing

Reference19 articles.

1. Akhondi, S.A., et al.: Annotated chemical patent corpus: a gold standard for text mining. PLoS ONE 9, 1–8 (2014)

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

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

4. Hu, M., Cinciruk, D., Walsh, J.M.: Improving automated patent claim parsing: dataset, system, and experiments. CoRR abs/1605.01744 (2016)

5. Jurafsky, D., Martin, J.H.: Semantic Role Labeling and Argument Structure. In: Speech and Language Processing, 3rd edn. (2019)

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