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05/15/2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
Sharing medical reports is essential for patient-centered care. A recent...
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08/20/2022
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction
Knowledge-enhanced pre-trained models for language representation have b...
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10/24/2021
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
Relation extraction in the biomedical domain is a challenging task due t...
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09/25/2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
Radiology report generation aims at generating descriptive text from rad...
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11/12/2020
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules
Discovering precise and specific rules from knowledge graphs is regarded...
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10/06/2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
Automatic medical image report generation has drawn growing attention du...
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08/05/2020
Antibody Watch: Text Mining Antibody Specificity from the Literature
Motivation: Antibodies are widely used reagents to test for expression o...
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08/11/2018