ChEMU: Cheminformatics Elsevier Melbourne University

Information Extraction from Chemical Patents

If you are interested in participating in the CLEF2020 ChEMU task on information extraction from chemical patents, please register here: http://clef2020-labs-registration.dei.unipd.it/registrationForm.php.

We will be running a new evaluation lab named ChEMU, part of the 11th Conference and Labs of the Evaluation Forum (CLEF-2020). ChEMU proposes two key information extraction tasks over chemical reactions from patents.

More details coming soon!

Relevant background:

  1. Zhai Z, Nguyen DQ, Akhondi S, Thorne C, Druckenbrodt C, Cohn T, Gregory M and Verspoor K. (2019) Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. Proceedings of the Workshop on Biomedical Natural Language Processing (BioNLP) at ACL 2019. https://www.aclweb.org/anthology/W19-5035.pdf
  2. Yoshikawa H, Verspoor K, Baldwin T, Nguyen DQ, Zhai Z, Zkhondi S, Thorne C, Druckenbrodt C. (2019) Detecting Chemical Reaction Schemes in Patents. Australian Language Technology Association Workshop (ALTA 2019). Sydney, Australia, December 2019. https://www.aclweb.org/anthology/U19-1014.pdf
  3. Nguyen DQ, Zhai Z, Yoshikawa H, Fang B, Druckenbrodt C, Thorne C, Hoessel R, Akhondi SA, Cohn T, Baldwin T and Verspoor K. (2020) ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. To appear in ECIR 2020. PDF.
This project is a collaboration between the University of Melbourne natural language processing group in the School of Computing and Information Systems, the Elsevier Content Transformations, Life Science team, and RMIT University. The principal investigator of the project is Karin Verspoor. The research is supported by an Australian Research Council Linkage Project, LP160101469, and Elsevier.

Key Dates