Papers by Andriy Mulyar

1 papers
Clinical Concept Linking with Contextualized Neural Representations (2020.acl-main)

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Challenge: Entity linking systems rely on three sources of information: 1) similarity between mention string and entity name; 2) similarity of context of document to entity; 3) broader information about knowledge base; 4) contextual information; 5) semantic information; and 6) semantic information.
Approach: They propose an approach to linking medical concepts to a medical concept ontology that leverages recent work in contextualized neural models.
Outcome: The proposed approach outperforms a baseline approach and provides better initialization for the ranker.

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