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Interpretability

7318 directly classified papers

Papers per year

Papers

“It seemed like an annoying woman”: On the Perception and Ethical Considerations of Affective Language in Text-Based Conversational Agents CONLL 2021

Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CONLL 2021

What Can a Generative Language Model Answer About a Passage? EMNLP 2021

pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021

Study of Manifestation of Civil Unrest on Twitter EMNLP 2021

MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021

GHOST at SemEval-2021 Task 5: Is explanation all you need? SEMEVAL 2021

Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need SEMEVAL 2021

A Targeted Assessment of Incremental Processing in Neural Language Models and Humans ACL 2021

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking ACL 2021

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ACL 2021

Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models EACL 2021

Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR EACL 2021

Understanding Pre-Editing for Black-Box Neural Machine Translation EACL 2021

Towards Objectively Evaluating the Quality of Generated Medical Summaries EACL 2021

Explaining by Removing: A Unified Framework for Model Explanation JMLR 2021

What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021

SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition ICCV 2021

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS 2021

On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021

LT3 at SemEval-2021 Task 6: Using Multi-Modal Compact Bilinear Pooling to Combine Visual and Textual Understanding in Memes IJCNLP 2021

Detecting Hashtag Hijacking for Hashtag Activism IJCNLP 2021

A Review of Human Evaluation for Style Transfer IJCNLP 2021

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection IJCNLP 2021

Alignment Rationale for Natural Language Inference IJCNLP 2021