Expanding a radiology lexicon using contextual patterns in radiology reports | Zendy

Bethany Percha | Zendy; Yuhao Zhang | Zendy; Selen Bozkurt | Zendy; Daniel L. Rubin | Zendy; Russ B. Altman | Zendy; Curtis P. Langlotz | Zendy

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Expanding a radiology lexicon using contextual patterns in radiology reports

Author(s) -

Bethany Percha,

Yuhao Zhang,

Selen Bozkurt,

Daniel L. Rubin,

Russ B. Altman,

Curtis P. Langlotz

Publication year - 2017

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/ocx152

Subject(s) - lexicon , distributional semantics , computer science , word2vec , natural language processing , semantics (computer science) , artificial intelligence , context (archaeology) , ranking (information retrieval) , term (time) , phrase , information retrieval , semantic similarity , paleontology , physics , embedding , quantum mechanics , biology , programming language

Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lexicon expansion in a clinical domain, radiology, by unearthing synonyms from the corpus.

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