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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
ArXiv (abs)PDFHTML

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

27 / 127 papers shown
Biomedical Question Answering: A Survey of Approaches and Challenges
Biomedical Question Answering: A Survey of Approaches and ChallengesACM Computing Surveys (CSUR), 2021
Qiao Jin
Zheng Yuan
Guangzhi Xiong
Qian Yu
Huaiyuan Ying
Chuanqi Tan
Mosha Chen
Songfang Huang
Xiaozhong Liu
Sheng Yu
246
123
0
10 Feb 2021
Memorization vs. Generalization: Quantifying Data Leakage in NLP
  Performance Evaluation
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Aparna Elangovan
Jiayuan He
Karin Verspoor
TDIFedML
344
107
0
03 Feb 2021
English Machine Reading Comprehension Datasets: A Survey
English Machine Reading Comprehension Datasets: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Daria Dzendzik
Carl Vogel
Jennifer Foster
RALMAIMat
257
51
0
25 Jan 2021
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of
  Clinical Question Answering
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020
Xiang Yue
Xinliang Frederick Zhang
Ziyu Yao
Simon M. Lin
Huan Sun
LM&MAMedIm
224
41
0
30 Oct 2020
Knowledge Graph-based Question Answering with Electronic Health Records
Knowledge Graph-based Question Answering with Electronic Health RecordsMachine Learning in Health Care (MLHC), 2020
Junwoo Park
Youngwoo Cho
Haneol Lee
Jaegul Choo
Edward Choi
258
41
0
19 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for
  Language Model Adaptation
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
Minki Kang
Moonsu Han
Sung Ju Hwang
OOD
196
18
0
06 Oct 2020
What Disease does this Patient Have? A Large-scale Open Domain Question
  Answering Dataset from Medical Exams
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical ExamsApplied Sciences (Appl. Sci.), 2020
Di Jin
Eileen Pan
Nassim Oufattole
W. Weng
Hanyi Fang
Peter Szolovits
FaMLELMLM&MA
420
1,252
0
28 Sep 2020
Unsupervised Pre-training for Biomedical Question Answering
Unsupervised Pre-training for Biomedical Question AnsweringConference and Labs of the Evaluation Forum (CLEF), 2020
Vaishnavi Kommaraju
K. Gunasekaran
Kun Li
Trapit Bansal
Andrew McCallum
Ivana Williams
Ana-Maria Istrate
SSLMedIm
163
18
0
27 Sep 2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in
  Natural Language Inference data and models
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models
Viktor Schlegel
Goran Nenadic
Riza Batista-Navarro
ELM
231
18
0
29 May 2020
Entity-Enriched Neural Models for Clinical Question Answering
Entity-Enriched Neural Models for Clinical Question Answering
Bhanu Pratap Singh Rawat
W. Weng
So Yeon Min
Preethi Raghavan
Peter Szolovits
224
18
0
13 May 2020
A Survey on Temporal Reasoning for Temporal Information Extraction from
  Text (Extended Abstract)
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
A. Leeuwenberg
Marie-Francine Moens
160
36
0
13 May 2020
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
Petros Stavropoulos
Dimitris Pappas
Ion Androutsopoulos
Ryan T. McDonald
174
58
0
13 May 2020
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
216
66
0
13 May 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xiang Yue
Bernal Jimenez Gutierrez
Huan Sun
235
50
0
01 May 2020
Question Answering over Curated and Open Web Sources
Question Answering over Curated and Open Web SourcesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Rishiraj Saha Roy
Avishek Anand
318
12
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
232
10
0
10 Apr 2020
Calibrating Structured Output Predictors for Natural Language Processing
Calibrating Structured Output Predictors for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Abhyuday N. Jagannatha
Hong-ye Yu
338
30
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
CLLKELM
151
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
233
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
97
0
0
06 Mar 2020
A Survey on Machine Reading Comprehension Systems
A Survey on Machine Reading Comprehension SystemsNatural Language Engineering (NLE), 2020
Razieh Baradaran
Razieh Ghiasi
Hossein Amirkhani
FaML
347
98
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 answeringJAMIA Open (JAMIA Open), 2019
Andrew Wen
Mohamed Y. Elwazir
Sungrim Moon
Jungwei Fan
LM&MA
105
34
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
Shehzaad Dhuliawala
Daniel Boies
OOD
170
19
0
06 Nov 2019
PubMedQA: A Dataset for Biomedical Research Question Answering
PubMedQA: A Dataset for Biomedical Research Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Qiao Jin
Bhuwan Dhingra
Zhengping Liu
William W. Cohen
Xinghua Lu
759
1,278
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 RecordsThe Web Conference (WWW), 2019
Ping Wang
Tian Shi
Chandan K. Reddy
230
127
0
28 Jul 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning
  Over Paragraphs
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Dheeru Dua
Yizhong Wang
Pradeep Dasigi
Gabriel Stanovsky
Sameer Singh
Matt Gardner
AIMat
357
1,142
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
140
23
0
01 Nov 2018
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