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emrQA: A Large Corpus for Question Answering on Electronic Medical
  Records

emrQA: A Large Corpus for Question Answering on Electronic Medical Records

3 September 2018
Anusri Pampari
Preethi Raghavan
Jennifer J. Liang
Jian-wei Peng
ArXivPDFHTML

Papers citing "emrQA: A Large Corpus for Question Answering on Electronic Medical Records"

15 / 115 papers shown
Title
Machine Reading Comprehension: The Role of Contextualized Language
  Models and Beyond
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
ZhuoSheng Zhang
Hai Zhao
Rui Wang
18
62
0
13 May 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Xiang Yue
Bernal Jimenez Gutierrez
Huan Sun
18
48
0
01 May 2020
Question Answering over Curated and Open Web Sources
Question Answering over Curated and Open Web Sources
Rishiraj Saha Roy
Avishek Anand
21
11
0
24 Apr 2020
Towards Automatic Generation of Questions from Long Answers
Towards Automatic Generation of Questions from Long Answers
Shlok Kumar Mishra
Pranav Goel
Abhishek Sharma
Abhyuday N. Jagannatha
David Jacobs
Hal Daumé
28
8
0
10 Apr 2020
Calibrating Structured Output Predictors for Natural Language Processing
Calibrating Structured Output Predictors for Natural Language Processing
Abhyuday N. Jagannatha
Hong-ye Yu
22
28
0
09 Apr 2020
Continual Domain-Tuning for Pretrained Language Models
Continual Domain-Tuning for Pretrained Language Models
Subendhu Rongali
Abhyuday N. Jagannatha
Bhanu Pratap Singh Rawat
Hong-ye Yu
CLL
KELM
6
7
0
05 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Saku Sugawara
Pontus Stenetorp
Akiko Aizawa
16
2
0
04 Apr 2020
Practical Annotation Strategies for Question Answering Datasets
Practical Annotation Strategies for Question Answering Datasets
Bernhard Kratzwald
Xiang Yue
Huan Sun
Stefan Feuerriegel
16
0
0
06 Mar 2020
A Survey on Machine Reading Comprehension Systems
A Survey on Machine Reading Comprehension Systems
Razieh Baradaran
Razieh Ghiasi
Hossein Amirkhani
FaML
13
85
0
06 Jan 2020
Adapting and evaluating a deep learning language model for clinical
  why-question answering
Adapting and evaluating a deep learning language model for clinical why-question answering
Andrew Wen
Mohamed Y. Elwazir
Sungrim Moon
Jungwei Fan
LM&MA
16
31
0
13 Nov 2019
Towards Domain Adaptation from Limited Data for Question Answering Using
  Deep Neural Networks
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks
Timothy J. Hazen
S. Dhuliawala
Daniel Boies
OOD
8
19
0
06 Nov 2019
PubMedQA: A Dataset for Biomedical Research Question Answering
PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin
Bhuwan Dhingra
Zhengping Liu
William W. Cohen
Xinghua Lu
243
815
0
13 Sep 2019
Text-to-SQL Generation for Question Answering on Electronic Medical
  Records
Text-to-SQL Generation for Question Answering on Electronic Medical Records
Ping Wang
Tian Shi
Chandan K. Reddy
15
97
0
28 Jul 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning
  Over Paragraphs
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua
Yizhong Wang
Pradeep Dasigi
Gabriel Stanovsky
Sameer Singh
Matt Gardner
AIMat
35
911
0
01 Mar 2019
On the Generation of Medical Question-Answer Pairs
On the Generation of Medical Question-Answer Pairs
Sheng Shen
Yaliang Li
Nan Du
X. Wu
Yusheng Xie
Shen Ge
Tao Yang
Kai Wang
Xin-Fang Liang
Wei Fan
MedIm
13
21
0
01 Nov 2018
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