Human-grounded Evaluations of Explanation Methods for Text Classification

29 August 2019

Papers citing "Human-grounded Evaluations of Explanation Methods for Text Classification"

18 / 18 papers shown

Title
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 24 0 0 11 Feb 2023
Towards Human-Centred Explainability Benchmarks For Text Classification Viktor Schlegel Erick Mendez Guzman Riza Batista-Navarro 33 5 0 10 Nov 2022
ferret: a Framework for Benchmarking Explainers on Transformers Giuseppe Attanasio Eliana Pastor C. Bonaventura Debora Nozza 33 30 0 02 Aug 2022
Argumentative Explanations for Pattern-Based Text Classifiers Piyawat Lertvittayakumjorn Francesca Toni 50 4 0 22 May 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 34 22 0 22 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 40 20 0 21 Mar 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 40 38 0 17 Dec 2021
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining Andreas Madsen Nicholas Meade Vaibhav Adlakha Siva Reddy 111 35 0 15 Oct 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 27 5 0 30 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 25 1 0 02 Sep 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 36 463 0 26 Aug 2021
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms Taeyeong Choi B. Pyenson Juergen Liebig Theodore P. Pavlic 20 5 0 20 Aug 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 31 31 0 09 Jun 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 47 79 0 30 Apr 2021
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 27 220 0 25 Sep 2020
Deceptive AI Explanations: Creation and Detection Johannes Schneider Christian Meske Michalis Vlachos 34 28 0 21 Jan 2020
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 41 102 0 28 Nov 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014