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Interpretability

7318 directly classified papers

Papers per year

Papers

On the Importance of Delexicalization for Fact Verification EMNLP 2019
Probing Neural Network Comprehension of Natural Language Arguments ACL 2019
BERT Rediscovers the Classical NLP Pipeline ACL 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019
On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension ACL 2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining EMNLP 2019
Towards Understanding Neural Machine Translation with Word Importance EMNLP 2019
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification ACL 2019
Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019
Hierarchically-Refined Label Attention Network for Sequence Labeling EMNLP 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases EMNLP 2019
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity NIPS 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP 2019
QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019
Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019
Rethinking Attribute Representation and Injection for Sentiment Classification EMNLP 2019
Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019
Referring Relationships CVPR 2018
EvalD Reference-Less Discourse Evaluation for WMT18 EMNLP 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? EMNLP 2018
Interpreting Neural Network Hate Speech Classifiers EMNLP 2018
Discourse Coherence: Concurrent Explicit and Implicit Relations ACL 2018
Distributionally Robust Graphical Models NIPS 2018
Learning and Testing Causal Models with Interventions NIPS 2018