HUKB at ChEMU 2021 Task 2: Anaphora Resolution
HUKB at ChEMU 2021 Task 2: Anaphora Resolution
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发表时间：
2021
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通讯作者：
Kojiro Machi;Masaharu Yoshioka
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文献类型：
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作者：
Kojiro Machi;Masaharu Yoshioka
This paper describes our system for the ChEMU 2021 task 2 of anaphora resolution for extracting chemical reactions from patents. We divide the task into two subtasks: (1) span detection of mentions that include antecedent and anaphor; and (2) mention classification and relation detection. For the first task, we use a deep learning-based approach. For the second task, we use a rule-based approach that uses features related to chemical reactions by ChemicalTagger, which is a state-of-the-art text-mining tool for chemistry. Our system obtained an exact-match F-score of 0.6907 and a relaxed match F-score of 0.7459.
