Inferring Which Medical Treatments Work from Reports of Clinical Trials

2 April 2019

Papers citing "Inferring Which Medical Treatments Work from Reports of Clinical Trials"

20 / 20 papers shown

Title
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies Massimiliano Pronesti Joao Bettencourt-Silva Paul Flanagan Alessandra Pascale Oisin Redmond Anya Belz Yufang Hou 34 0 0 09 May 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation Duc Hau Nguyen Cyrielle Mallart Guillaume Gravier Pascale Sébillot 50 0 0 22 Jan 2025
Using LLMs to label medical papers according to the CIViC evidence model Markus Hisch Xing David Wang 31 0 0 05 Jul 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 19 4 0 12 Mar 2024
CARE: Extracting Experimental Findings From Clinical Literature Aakanksha Naik Bailey Kuehl Erin Bransom Doug Downey Tom Hope 23 1 0 16 Nov 2023
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
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization Georgios Katsimpras G. Paliouras 8 5 0 01 Apr 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking Dustin Wright David Wadden Kyle Lo Bailey Kuehl Arman Cohan Isabelle Augenstein Lucy Lu Wang MedIm 32 54 0 24 Mar 2022
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 22 148 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 13 22 0 30 Nov 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction Kosuke Nishida Kyosuke Nishida Itsumi Saito Sen Yoshida 25 6 0 17 Nov 2021
Literature-Augmented Clinical Outcome Prediction Aakanksha Naik Sravanthi Parasa Sergey Feldman Lucy Lu Wang Tom Hope LM&MA 13 25 0 16 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 14 41 0 26 Oct 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 30 6 0 08 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 13 16 0 31 Aug 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 16 31 0 22 Jun 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 18 14 0 16 Apr 2021
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 David Lowell Brian Howard Zachary Chase Lipton Byron C. Wallace 8 23 0 22 Oct 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 16 37 0 27 May 2020