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Papers
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
AAAI 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ACL 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ICML 2022
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
ACL 2022
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction
ACL 2021
An Investigation of Language Model Interpretability via Sentence Editing
EMNLP 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
ACL 2021
LIREx: Augmenting Language Inference with Relevant Explanations
AAAI 2021
Making a (Counterfactual) Difference One Rationale at a Time
NeurIPS 2021
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
NAACL 2021
Rationales for Sequential Predictions
EMNLP 2021
SemEval-2021 Task 5: Toxic Spans Detection
SemEval 2021
Structurizing Misinformation Stories via Rationalizing Fact-Checks
ACL 2021
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
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ACL 2020
Learning to Faithfully Rationalize by Construction
ACL 2020
RANCC: Rationalizing Neural Networks via Concept Clustering
COLING 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics
ACL 2020
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering
EMNLP 2020
Interpretable Neural Predictions with Differentiable Binary Variables
ACL 2019
Integrating Stance Detection and Fact Checking in a Unified Corpus
NAACL 2018
Interpretable Rationale Augmented Charge Prediction System
COLING 2018
Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
COLING 2018