A Survey on Explainability in Machine Reading Comprehension

1 October 2020

Mokanarangan Thayaparan

Papers citing "A Survey on Explainability in Machine Reading Comprehension"

36 / 36 papers shown

Title
CARE: A Clue-guided Assistant for CSRs to Read User Manuals Weihong Du Jia-Wei Liu Zujie Wen Dingnan Jin Hongru Liang Wenqiang Lei 43 0 0 07 Aug 2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference Mokanarangan Thayaparan Marco Valentino André Freitas 28 0 0 03 Apr 2024
Inference to the Best Explanation in Large Language Models Dhairya Dalal Marco Valentino André Freitas Paul Buitelaar LRM ELM 54 3 0 16 Feb 2024
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement Xin Quan Marco Valentino Louise A. Dennis André Freitas LRM 28 11 0 01 Feb 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders Yingji Zhang Danilo S. Carvalho Marco Valentino Ian Pratt-Hartmann André Freitas DRL 56 5 0 01 Feb 2024
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning Guoxin Chen Kexin Tang Chao Yang Fuying Ye Yu Qiao Yiming Qian LRM 18 3 0 24 Jan 2024
Towards Controllable Natural Language Inference through Lexical Inference Types Yingji Zhang Danilo S. Carvalho Ian Pratt-Hartmann André Freitas 29 1 0 07 Aug 2023
Machine Reading Comprehension using Case-based Reasoning Dung Ngoc Thai Dhruv Agarwal Mudit Chaudhary Wenlong Zhao Rajarshi Das Manzil Zaheer J. Lee Hannaneh Hajishirzi Andrew McCallum 28 1 0 24 May 2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision Wenting Zhao Justin T. Chiu Claire Cardie Alexander M. Rush LRM 19 4 0 23 May 2023
Faithful Question Answering with Monte-Carlo Planning Ruixin Hong Hongming Zhang Honghui Zhao Dong Yu Changshui Zhang ReLM LRM 60 19 0 04 May 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 36 31 0 21 Jan 2023
A Comprehensive Survey on Multi-hop Machine Reading Comprehension Approaches A. Mohammadi Reza Ramezani Ahmad Baraani 35 3 0 08 Dec 2022
A Comprehensive Survey on Multi-hop Machine Reading Comprehension Datasets and Metrics A. Mohammadi Reza Ramezani Ahmad Baraani 43 1 0 08 Dec 2022
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers Mokanarangan Thayaparan Marco Valentino André Freitas 16 0 0 05 Aug 2022
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives Alex Bogatu Zili Zhou Dónal Landers André Freitas LRM 27 2 0 02 Aug 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 48 28 0 02 Jul 2022
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms Mohaddeseh Bastan N. Shankar Mihai Surdeanu Niranjan Balasubramanian 26 3 0 10 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation Ruixin Hong Hongming Zhang Xintong Yu Changshui Zhang ReLM LRM 32 33 0 05 May 2022
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI Marco Valentino André Freitas XAI 23 2 0 03 May 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning Fangzhi Xu Jun Liu Qika Lin Yudai Pan Lingling Zhang 29 24 0 02 May 2022
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making Oskar Wysocki J. Davies Markel Vigo Anne Caroline Armstrong Dónal Landers Rebecca Lee André Freitas 16 63 0 11 Apr 2022
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language Mael Jullien Marco Valentino André Freitas 24 9 0 25 Jan 2022
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension Naoya Inoue H. Trivedi Steven K. Sinha Niranjan Balasubramanian Kentaro Inui 58 14 0 14 Sep 2021
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings Peter Alexander Jansen Kelly Smith Dan Moreno Huitzilin Ortiz CoGe ReLM LRM 33 10 0 07 Sep 2021
Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration Marco Valentino Mokanarangan Thayaparan Deborah Ferreira André Freitas 26 24 0 25 Jul 2021
Generating Hypothetical Events for Abductive Inference Debjit Paul Anette Frank ReLM LRM 14 7 0 07 Jun 2021
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence Andrew Halterman Katherine A. Keith Sheikh Muhammad Sarwar Brendan O'Connor 30 27 0 27 May 2021
Encoding Explanatory Knowledge for Zero-shot Science Question Answering Zili Zhou Marco Valentino Dónal Landers André Freitas 11 7 0 12 May 2021
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference Mokanarangan Thayaparan Marco Valentino Deborah Ferreira Julia Rozanova André Freitas 30 11 0 07 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards Marco Valentino Ian Pratt-Hartman André Freitas XAI LRM 23 12 0 05 May 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 19 141 0 24 Feb 2021
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering Mokanarangan Thayaparan Marco Valentino André Freitas LRM 23 9 0 25 Oct 2020
Case-Based Abductive Natural Language Inference Marco Valentino Mokanarangan Thayaparan André Freitas 23 5 0 30 Sep 2020
Answering Complex Open-domain Questions Through Iterative Query Generation Peng Qi Xiaowen Lin L. Mehr Zijian Wang Christopher D. Manning RALM ReLM LRM 181 117 0 15 Oct 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Yixin Nie Songhe Wang Joey Tianyi Zhou RALM 164 134 0 17 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 287 623 0 04 Dec 2018