Book Chapter
Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents
Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, Z Afzal, Z Zhai, T Baldwin, K Verspoor
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Published : 2022
Abstract
In this paper, we provide an overview of the Cheminformatics Elsevier Melbourne University (ChEMU) evaluation lab 2022, part of the Conference and Labs of the Evaluation Forum 2022 (CLEF 2022). The ChEMU campaign focuses on information extraction tasks over chemical reactions in patents. The ChEMU 2020 lab provided two information extraction tasks, named entity recognition and event extraction. The ChEMU 2021 lab introduced one more task, anaphora resolution. This year, we re-run all the three tasks with new test data. Together, the tasks support comprehensive automatic chemical patent analysis. Herein, we describe the resources created for these tasks and the evaluation methodology adopted...
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Awarded by Australian Research Council
Funding Acknowledgements
We are grateful for the detailed excerption and annotation work of the domain experts that support Reaxys, and the support of Ivan Krstic, Director of Chemistry Solutions at Elsevier. Funding for the ChEMU project is provided by an Australian Research Council Linkage Project, project number LP160101469, and Elsevier. We acknowledge the support of annotators for the anaphora resolution task, Dr. Sacha Novakovic and Colleen Hui Shiuan Yeow at the University of Melbourne.