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A Study of Word Embeddings for Biomedical Question Answering

Abstract : Different word embeddings for question answering task can give different impacts on the performance. This article discusses the issue, compares different word embeddings on a question answering task for biomedical domain and reports better performing word embeddings.
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https://hal.archives-ouvertes.fr/hal-01704570
Contributor : Sanjay Kamath Ramachandra Rao Connect in order to contact the contributor
Submitted on : Friday, February 9, 2018 - 3:33:47 PM
Last modification on : Tuesday, November 16, 2021 - 5:11:31 AM
Long-term archiving on: : Saturday, May 5, 2018 - 7:59:42 AM

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  • HAL Id : hal-01704570, version 1

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Sanjay Kamath, Brigitte Grau, Yue Ma. A Study of Word Embeddings for Biomedical Question Answering. 4e édition du Symposium sur l'Ingénierie de l'Information Médicale, Nov 2017, Toulouse, France. ⟨hal-01704570⟩

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