A graph-based method for reconstructing entities from coordination ellipsis in medical text | Zendy

Chi Yuan | Zendy; Yongli Wang | Zendy; Ning Shang | Zendy; Ziran Li | Zendy; Ruxin Zhao | Zendy; Chunhua Weng | Zendy

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A graph-based method for reconstructing entities from coordination ellipsis in medical text

Author(s) -

Chi Yuan,

Yongli Wang,

Ning Shang,

Ziran Li,

Ruxin Zhao,

Chunhua Weng

Publication year - 2020

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa109

Subject(s) - computer science , natural language processing , ellipse , normalization (sociology) , bottleneck , artificial intelligence , embedding , coreference , ellipsis (linguistics) , pipeline (software) , cohesion (chemistry) , algorithm , mathematics , programming language , resolution (logic) , chemistry , geometry , organic chemistry , sociology , anthropology , embedded system

Coordination ellipsis is a linguistic phenomenon abound in medical text and is challenging for concept normalization because of difficulty in recognizing elliptical expressions referencing 2 or more entities accurately. To resolve this bottleneck, we aim to contribute a generalizable method to reconstruct concepts from medical coordinated elliptical expressions in a variety of biomedical corpora.

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