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Interpretability

7318 directly classified papers

Papers per year

Papers

Cisco at SemEval-2021 Task 5: What’s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments SEMEVAL 2021

NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques SEMEVAL 2021

A Study of Automatic Metrics for the Evaluation of Natural Language Explanations EACL 2021

What does LIME really see in images? ICML 2021

Complex words identification using word-level features for SemEval-2020 Task 1 SEMEVAL 2021

WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans SEMEVAL 2021

GoldenWind at SemEval-2021 Task 5: Orthrus - An Ensemble Approach to Identify Toxicity IJCNLP 2021

HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection ACL 2021

IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion ACL 2021

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

Bridging Perception, Memory, and Inference through Semantic Relations EMNLP 2021

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming NIPS 2021

Provably efficient, succinct, and precise explanations NIPS 2021

Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021

Do pretrained transformers infer telicity like humans? EMNLP 2021

Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability EMNLP 2021

Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers EMNLP 2021

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable EMNLP 2021

Summary Explorer: Visualizing the State of the Art in Text Summarization EMNLP 2021

Measuring Association Between Labels and Free-Text Rationales EMNLP 2021

Neural Natural Logic Inference for Interpretable Question Answering EMNLP 2021

L2C: Describing Visual Differences Needs Semantic Understanding of Individuals EACL 2021

Local explanations via necessity and sufficiency: unifying theory and practice UAI 2021

Automated triaging of head MRI examinations using convolutional neural networks MIDL 2021

Characterizing the risk of fairwashing NIPS 2021