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Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers (17) Machine Learning (1660) Natural Language Processing (774)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23099, first published .
Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

Authors of this article:

Mark Ormerod1 Author Orcid Image ;   Jesús Martínez del Rincón1 Author Orcid Image ;   Barry Devereux1 Author Orcid Image
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New JMIR MedInform: Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evalua… https://t.co/zjv8rYrtBN

1:42 PM · May 26, 2021

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Mark Ormerod Mark Ormerod @markrormerod

Our paper on using Transformer models to predict semantic similarity between clinical sentence pairs has just been… https://t.co/x78wBH7gOt

3:09 PM · May 26, 2021

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#NLP "Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Repre… https://t.co/GFM8PwDEQK

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RT @doctick: #NLP "Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational…

11:39 PM · May 26, 2021

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Barry Devereux Barry Devereux @barryjdevereux

RT @markrormerod: Our paper on using Transformer models to predict semantic similarity between clinical sentence pairs has just been publis…

1:31 PM · May 31, 2021

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