Papers by Jiarun Cao

2 papers
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction (2021.findings-emnlp)

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Challenge: Existing models for extracting relation triplets suffer from incompletion and disorder problems when they extract multi-token entities from input sentences.
Approach: They propose a special entity labelling method that fine-tunes the pre-trained model and learns the special entity labels simultaneously.
Outcome: The proposed model achieves 4.6% and 0.9% improvement over current methods in the NYT24 and NYT29 benchmark datasets.
MIE: A Medical Information Extractor towards Medical Dialogues (2020.acl-main)

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Challenge: EMRs are important but many doctors suffer from writing them, which is time-consuming and tedious.
Approach: They propose an automatic conversion of medical dialogues to EMRs using a window-sliding style . they propose a medical information extractor (MIE) that extracts medical information from medical dialogue .
Outcome: The proposed model extracts medical information from doctor-patient dialogues.

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