Activities per year
Text mining and relation extraction, are challenging NLP tasks, that become only harder when we deal with chemical texts, and in particular chemical patents. Chemical patents are at the same time a key source of chemical information regarding new compounds and their synthesis, and linguistically very complex and ambiguous documents. Through a large grant awarded by the Australian Research Council, Professor Karin Verspoor at the University of Melbourne is leading a project to extract chemical reaction information from chemical patents.
|Effective start/end date||06/1/18 → 05/31/21|
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He, J., Zhai, Z., Akhondi, S., Drukenbrodt, C., Thorne, C., Yoshikawa, H. & Verspoor, K., 2021, In: International Conference Recent Advances in Natural Language Processing, RANLP.
Research output: Contribution to journal › Article › peer-review
Zhai, Z., Drukenbrodt, C., Thorne, C., Akhondi, S., Nguyen, D. Q., Cohn, T. & Verspoor, K., 2021, In: Research Square preprint.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Fang, B., Drukenbrodt, C., Akhondi, S., He, J., Baldwin, T. & Verspoor, K., 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review