- Ritam Dutt, Sopan Khosla, C. Rosé. 2021. A pipelined approach to Anaphora Resolution in Chemical Patents. Abstract: We present our pipelined approach for the sub-task of anaphora resolution in chemical patents as part of the ChEMU shared task at CLEF, 2021. Our approach consists of independently trained mention extraction and relation classification modules. For the former, we set up a BERT-CRF and leverage the BIO scheme to represent the mentions. We include a post-processing step after mention extraction to correct boundary errors and handle nested mentions. For relation classification, we develop a BERT-based model that captures the context between the two candidate mentions to predict the relation between the two. Our final submission ensembles BERT models pretrained on different types of clinical data and achieves a Strict F1 of 0.785 on the official test set.
