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Interpretability

7,452 papers

Papers per year

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14
488
1716
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Papers

Attention is not not Explanation EMNLP 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP 2019
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification EMNLP 2019
Towards Understanding Neural Machine Translation with Word Importance EMNLP 2019
Tree Transformer: Integrating Tree Structures into Self-Attention EMNLP 2019
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag EMNLP 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019
Adaptively Sparse Transformers EMNLP 2019
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP EMNLP 2019
Designing and Interpreting Probes with Control Tasks EMNLP 2019
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts EMNLP 2019
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs EMNLP 2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study EMNLP 2019
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments EMNLP 2019
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG EMNLP 2019
On the Importance of Delexicalization for Fact Verification EMNLP 2019
A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019
Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019
Hierarchically-Refined Label Attention Network for Sequence Labeling EMNLP 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019
Revealing the Dark Secrets of BERT EMNLP 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning EMNLP 2019
Human-grounded Evaluations of Explanation Methods for Text Classification EMNLP 2019