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2021

Nov 7

Quantifying the Task-Specific Information in Text-Based Classifications

• OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
• Out-of-Distribution Failure through the Lens of Labeling Mechanisms: An Information Theoretic Approach
• On the data requirements of probing
• Neural reality of argument structure constructions
• Cool Books in 2021
• Quantifying the Task-Specific Information in Text-Based Classifications
• An unsupervised framework for tracing textual sources of moral change
• What do writing features tell us about AI papers?
• How is BERT surprised? Layerwise detection of linguistic anomalies
• NAACL 2021 papers
• Interpretable NLP 2021 winter
• Cool Books in 2020
• Examining the rhetorical capacities of neural language models
• An information theoretic view on selecting linguistic probes
• Trends in ACL 2020