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Interpretability

7318 directly classified papers

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Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach NAACL 2019

When Choosing Plausible Alternatives, Clever Hans can be Clever EMNLP 2019

Modeling Paths for Explainable Knowledge Base Completion ACL 2019

Are Red Roses Red? Evaluating Consistency of Question-Answering Models ACL 2019

Strong Equivalence for Epistemic Logic Programs Made Easy AAAI 2019

Combined Reinforcement Learning via Abstract Representations AAAI 2019

Towards Better Interpretability in Deep Q-Networks AAAI 2019

Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 2019

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range ACL 2019

Fine-Grained Analysis of Propaganda in News Articles IJCNLP 2019

Lightly-supervised Representation Learning with Global Interpretability NAACL 2019

Generating Token-Level Explanations for Natural Language Inference NAACL 2019

Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization IJCNLP 2019

On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping NAACL 2019

Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible? SEMEVAL 2019

Adversarial Removal of Demographic Attributes Revisited IJCNLP 2019

Deliberative Explanations: visualizing network insecurities NIPS 2019

Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019

Tanbih: Get To Know What You Are Reading IJCNLP 2019

Homomorphic Sensing ICML 2019

Rational Inference Relations from Maximal Consistent Subsets Selection IJCAI 2019

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019

Named Entity Recognition - Is There a Glass Ceiling? CONLL 2019

Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019

Augmenting Neural Networks with First-order Logic ACL 2019