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rationale extraction

52 papers

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text classification (6776) model interpretability (510) explanation generation (188) explainable ai (478) large language model (12755) sequence labeling (824) multi-task learning (2556) interpretable machine learning (139) language model (4573) toxic span detection (86)

Papers

Flexible Instance-Specific Rationalization of NLP Models AAAI 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022
Diagnostics-Guided Explanation Generation AAAI 2022
From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer ACL 2022
Are Shortest Rationales the Best Explanations for Human Understanding? ACL 2022
SemEval-2021 Task 5: Toxic Spans Detection IJCNLP 2021
SemEval-2021 Task 5: Toxic Spans Detection SEMEVAL 2021
An Investigation of Language Model Interpretability via Sentence Editing EMNLP 2021
Rationales for Sequential Predictions EMNLP 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases NAACL 2021
SemEval-2021 Task 5: Toxic Spans Detection ACL 2021
Exploring Distantly-Labeled Rationales in Neural Network Models ACL 2021
Structurizing Misinformation Stories via Rationalizing Fact-Checks ACL 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction ACL 2021
Making a (Counterfactual) Difference One Rationale at a Time NIPS 2021
LIREx: Augmenting Language Inference with Relevant Explanations AAAI 2021
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering EMNLP 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020
RANCC: Rationalizing Neural Networks via Concept Clustering COLING 2020
Learning to Faithfully Rationalize by Construction ACL 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support EMNLP 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP 2020
Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019
Interpretable Rationale Augmented Charge Prediction System COLING 2018