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"

34 / 34 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 36 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 60 0 0 22 Jan 2025
Using LLMs to label medical papers according to the CIViC evidence model Markus Hisch Xing David Wang 47 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 34 5 0 12 Mar 2024
CARE: Extracting Experimental Findings From Clinical Literature Aakanksha Naik Bailey Kuehl Erin Bransom Doug Downey Tom Hope 28 1 0 16 Nov 2023
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges S. Ramprasad Denis Jered McInerney Iain J. Marshal Byron C. Wallace 29 9 0 07 Mar 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
Artificial Intelligence for In Silico Clinical Trials: A Review Zifeng Wang Chufan Gao Lucas Glass Jimeng Sun 33 12 0 16 Sep 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP Lijie Wang Yaozong Shen Shu-ping Peng Shuai Zhang Xinyan Xiao Hao Liu Hongxuan Tang Ying-Cong Chen Hua Wu Haifeng Wang ELM 19 21 0 23 May 2022
Re-Examining Human Annotations for Interpretable NLP Cheng-Han Chiang Hung-yi Lee FAtt XAI 19 6 0 10 Apr 2022
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization Georgios Katsimpras George Giannakopoulos 22 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 47 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 27 152 0 02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 45 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 38 7 0 17 Nov 2021
Literature-Augmented Clinical Outcome Prediction Aakanksha Naik Sravanthi Parasa Sergey Feldman Lucy Lu Wang Tom Hope LM&MA 20 25 0 16 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 20 41 0 26 Oct 2021
What Would it Take to get Biomedical QA Systems into Practice? Gregory Kell Iain J. Marshall Byron C. Wallace A. Jaun 19 10 0 21 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 38 6 0 08 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience G. Chrysostomou Nikolaos Aletras 32 16 0 31 Aug 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 19 31 0 22 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training Shunsuke Kitada Hitoshi Iyatomi AAML 22 8 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
PAWLS: PDF Annotation With Labels and Structure Mark Neumann Zejiang Shen Sam Skjonsberg 19 19 0 25 Jan 2021
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 43 38 0 03 Dec 2020
Weakly- and Semi-supervised Evidence Extraction Danish Pruthi Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 4 23 0 03 Nov 2020
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data David Lowell Brian Howard Zachary Chase Lipton Byron C. Wallace 24 23 0 22 Oct 2020
Predicting Clinical Trial Results by Implicit Evidence Integration Qiao Jin Chuanqi Tan Mosha Chen Xiaozhong Liu Songfang Huang 17 8 0 12 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
Semi-Automating Knowledge Base Construction for Cancer Genetics Somin Wadhwa K. Yin K. Hughes Byron C. Wallace 16 0 0 17 May 2020
Evidence Inference 2.0: More Data, Better Models Jay DeYoung Eric P. Lehman Benjamin E. Nye Iain J. Marshall Byron C. Wallace 17 68 0 08 May 2020
Fact or Fiction: Verifying Scientific Claims David Wadden Shanchuan Lin Kyle Lo Lucy Lu Wang Madeleine van Zuylen Arman Cohan Hannaneh Hajishirzi HAI 19 429 0 30 Apr 2020