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Interpretability

7318 directly classified papers

Papers per year

Papers

Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges IJCNLP 2021

Does My Representation Capture X? Probe-Ably IJCNLP 2021

SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles IJCNLP 2021

Attention Flows are Shapley Value Explanations IJCNLP 2021

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding IJCNLP 2021

Learning to Explain: Generating Stable Explanations Fast IJCNLP 2021

SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis IJCNLP 2021

Modeling Fine-Grained Entity Types with Box Embeddings IJCNLP 2021

Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach IJCNLP 2021

Factorising Meaning and Form for Intent-Preserving Paraphrasing IJCNLP 2021

Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis IJCNLP 2021

Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations EMNLP 2021

Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema EMNLP 2021

Argumentation Mining in Scientific Literature for Sustainable Development EMNLP 2021

Towards the Unification and Robustness of Perturbation and Gradient Based Explanations ICML 2021

Towards Rigorous Interpretations: a Formalisation of Feature Attribution ICML 2021

Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks NIPS 2021

Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning ACL 2021

UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models ACL 2021

Realistic Evaluation Principles for Cross-document Coreference Resolution ACL 2021

Plan Explanations that Exploit a Cognitive Spatial Model IJCNLP 2021

CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions NIPS 2021

Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries EMNLP 2021

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NIPS 2021

Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output EMNLP 2021