Interpretability

Probing Biomedical Embeddings from Language Models NAACL 2019 Probing Neural Network Comprehension of Natural Language Arguments ACL 2019 Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English ACL 2019 PRoFET: Predicting the Risk of Firms from Event Transcripts IJCAI 2019 PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ICML 2019 QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019 Ranked Programming IJCAI 2019 Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs NAACL 2019 Rational Inference Relations from Maximal Consistent Subsets Selection IJCAI 2019 Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019 Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ACL 2019 RecoNet: An Interpretable Neural Architecture for Recommender Systems IJCAI 2019 Relating Simple Sentence Representations in Deep Neural Networks and the Brain ACL 2019 Relating the Structure of a Problem and Its Explanation AAAI 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence Interspeech 2019 Reparameterizable Subset Sampling via Continuous Relaxations IJCAI 2019 Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study EMNLP 2019 Representing and Learning Grammars in Answer Set Programming AAAI 2019 Rethinking Attribute Representation and Injection for Sentiment Classification EMNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Revealing the Dark Secrets of BERT EMNLP 2019 Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics NeurIPS 2019 Revisiting Visual Grounding NAACL 2019 Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019