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Interpretability

7318 directly classified papers

Papers per year

Papers

A Human Evaluation of AMR-to-English Generation Systems COLING 2020

Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement COLING 2020

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion COLING 2020

Explainable and Sparse Representations of Academic Articles for Knowledge Exploration COLING 2020

UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation COLING 2020

Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification COLING 2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification COLING 2020

DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification SEMEVAL 2020

R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason ACL 2020

Relation Extraction with Explanation ACL 2020

Do Neural Language Models Overcome Reporting Bias? COLING 2020

Autoregressive Reasoning over Chains of Facts with Transformers COLING 2020

Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes ACL 2020

SyntaxGym: An Online Platform for Targeted Evaluation of Language Models ACL 2020

Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries ACL 2020

ProtoAttend: Attention-Based Prototypical Learning JMLR 2020

syrapropa at SemEval-2020 Task 11: BERT-based Models Design for Propagandistic Technique and Span Detection COLING 2020

DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification COLING 2020

Reference to Discourse Topics: Introducing “Global” Shell Nouns COLING 2020

Concept Bottleneck Models ICML 2020

Mapping natural-language problems to formal-language solutions using structured neural representations ICML 2020

Flexible distribution-free conditional predictive bands using density estimators AISTATS 2020

Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning AISTATS 2020

Transparency Promotion with Model-Agnostic Linear Competitors ICML 2020