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Evidence Inference 2.0: More Data, Better Models

Evidence Inference 2.0: More Data, Better Models

8 May 2020
Jay DeYoung
Eric P. Lehman
Benjamin E. Nye
Iain J. Marshall
Byron C. Wallace
ArXivPDFHTML

Papers citing "Evidence Inference 2.0: More Data, Better Models"

13 / 13 papers shown
Title
Using LLMs to label medical papers according to the CIViC evidence model
Using LLMs to label medical papers according to the CIViC evidence model
Markus Hisch
Xing David Wang
33
0
0
05 Jul 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for
  Clinical Trials
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Mael Jullien
Marco Valentino
André Freitas
LM&MA
36
41
0
07 Apr 2024
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe
  Biomedical Natural Language Inference for Clinical Trials
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
Shreyasi Mandal
Ashutosh Modi
LRM
ELM
30
3
0
06 Apr 2024
CARE: Extracting Experimental Findings From Clinical Literature
CARE: Extracting Experimental Findings From Clinical Literature
Aakanksha Naik
Bailey Kuehl
Erin Bransom
Doug Downey
Tom Hope
28
1
0
16 Nov 2023
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named
  Entity Recognition from Clinical Cohort Studies
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies
Irfan Al-Hussaini
D. An
Albert Lee
Sarah Bi
Cassie S. Mitchell
9
7
0
01 Nov 2022
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms
Mohaddeseh Bastan
N. Shankar
Mihai Surdeanu
Niranjan Balasubramanian
21
3
0
10 May 2022
Predicting Intervention Approval in Clinical Trials through
  Multi-Document Summarization
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization
Georgios Katsimpras
G. Paliouras
8
5
0
01 Apr 2022
MultiVerS: Improving scientific claim verification with weak supervision
  and full-document context
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden
Bertie Vidgen
Lucy Lu Wang
Dirk Hovy
J. Pierrehumbert
Hannaneh Hajishirzi
27
149
0
02 Dec 2021
Literature-Augmented Clinical Outcome Prediction
Literature-Augmented Clinical Outcome Prediction
Aakanksha Naik
Sravanthi Parasa
Sergey Feldman
Lucy Lu Wang
Tom Hope
LM&MA
18
25
0
16 Nov 2021
Diagnostics-Guided Explanation Generation
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
36
6
0
08 Sep 2021
PAWLS: PDF Annotation With Labels and Structure
PAWLS: PDF Annotation With Labels and Structure
Mark Neumann
Zejiang Shen
Sam Skjonsberg
11
19
0
25 Jan 2021
Unsupervised Data Augmentation with Naive Augmentation and without
  Unlabeled Data
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
David Lowell
Brian Howard
Zachary Chase Lipton
Byron C. Wallace
19
23
0
22 Oct 2020
Predicting Clinical Trial Results by Implicit Evidence Integration
Predicting Clinical Trial Results by Implicit Evidence Integration
Qiao Jin
Chuanqi Tan
Mosha Chen
Xiaozhong Liu
Songfang Huang
10
8
0
12 Oct 2020
1