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Interpretability

7318 directly classified papers

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Papers

To compress or not to compress? A Finite-State approach to Nen verbal morphology ACL 2020
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing ACL 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models ACL 2020
Towards Transparent and Explainable Attention Models ACL 2020
Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020
Recalibrating classifiers for interpretable abusive content detection EMNLP 2020
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research EMNLP 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP 2020
Using Type Information to Improve Entity Coreference Resolution EMNLP 2020
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach EMNLP 2020
Second-Order NLP Adversarial Examples EMNLP 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication EMNLP 2020
Assessing Human-Parity in Machine Translation on the Segment Level EMNLP 2020
Assessing Robustness of Text Classification through Maximal Safe Radius Computation EMNLP 2020
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering EMNLP 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking EMNLP 2020
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis EMNLP 2020
Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think! EMNLP 2020
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics ACL 2020
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020
Inflecting When There’s No Majority: Limitations of Encoder-Decoder Neural Networks as Cognitive Models for German Plurals ACL 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification ACL 2020
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder ACL 2020
Staying True to Your Word: (How) Can Attention Become Explanation? ACL 2020