model evaluation

Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures NAACL 2021 Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021 A Call for More Rigor in Unsupervised Cross-lingual Learning ACL 2020 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Analyzing Neural Discourse Coherence Models EMNLP 2020 Approximate Cross-Validation for Structured Models NeurIPS 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation EMNLP 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ICLR 2020 Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think! EMNLP 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Evaluation of Coreference Resolution Systems Under Adversarial Attacks EMNLP 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020 Identifying Model Weakness with Adversarial Examiner AAAI 2020 Interpretable Multi-dataset Evaluation for Named Entity Recognition EMNLP 2020 Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning EMNLP 2020 Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models AAAI 2020 Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020 Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020 RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020 Rethinking the Value of Transformer Components COLING 2020 Second-Order NLP Adversarial Examples EMNLP 2020 Temporally-Informed Analysis of Named Entity Recognition ACL 2020 Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020