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Interpretability

7318 directly classified papers

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Papers

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches ACL 2020
Analyzing analytical methods: The case of phonology in neural models of spoken language ACL 2020
BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection ACL 2020
Iterative Edit-Based Unsupervised Sentence Simplification ACL 2020
Social Bias Frames: Reasoning about Social and Power Implications of Language ACL 2020
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge ACL 2020
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT ACL 2020
Quantifying Attention Flow in Transformers ACL 2020
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection ACL 2020
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models ACL 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020
Probing Neural Dialog Models for Conversational Understanding ACL 2020
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP 2020
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation EMNLP 2020
Surfacing Privacy Settings Using Semantic Matching EMNLP 2020
Intrinsic Probing through Dimension Selection EMNLP 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP 2020
Pareto Probing: Trading Off Accuracy for Complexity EMNLP 2020
Interpretation of NLP models through input marginalization EMNLP 2020
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks EMNLP 2020
On the weak link between importance and prunability of attention heads EMNLP 2020
Towards Interpreting BERT for Reading Comprehension Based QA EMNLP 2020