Natural Language Processing Application to the Chemical Domain
Author:
Affiliation:
1. Fujitsu Laboratories Ltd.
Publisher
Association for Natural Language Processing
Link
https://www.jstage.jst.go.jp/article/jnlp/27/4/27_969/_pdf
Reference15 articles.
1. Asada, M., Miwa, M., and Sasaki, Y. (2018). “Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information.” In Gurevych, I. and Miyao, Y. (Eds.), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15–20, 2018, Volume 2: Short Papers, pp. 680–685. Association for Computational Linguistics.
2. Beltagy, I., Lo, K., and Cohan, A. (2019). “SciBERT: A Pretrained Language Model for Scientific Text.” In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pp. 3615–3620.
3. He, J., Nguyen, D. Q., Akhondi, S. A., Druckenbrodt, C., Thorne, C., Hoessel, R., Afzal, Z., Zhai, Z., Fang, B., Yoshikawa, H., Albahem, A., Cavedon, L., Cohn, T., Baldwin, T., and Verspoor, K. (2020). “Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents.” In Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the 11th International Conference of the CLEF Association, Vol. 12260. Lecture Notes in Computer Science.
4. Heller, S. R., McNaught, A., Pletnev, I., Stein, S., and Tchekhovskoi, D. (2015). “InChI, the IUPAC International Chemical Identifier.” Journal of Cheminformatics, 7 (1), p. 23.
5. Hoffmann, T. and Gastreich, M. (2019). “The Next Level in Chemical Space Navigation: Going Far Beyond Enumerable Compound Libraries.” Drug Discovery Today, 24 (5), pp. 1148–1156.
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