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UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical
  Natural Language Inference

UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference

9 July 2019
William R. Kearns
Wilson Lau
Jason Thomas
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Papers citing "UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference"

3 / 3 papers shown
Title
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
33
13
0
14 Jun 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,748
0
26 Sep 2016
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,982
0
04 Mar 2010
1