model evaluation

WER we are and WER we think we are EMNLP 2020 What do we expect from Multiple-choice QA Systems? EMNLP 2020 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 A new evaluation framework for topic modeling algorithms based on synthetic corpora AISTATS 2019 Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019 Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019 GEval: Tool for Debugging NLP Datasets and Models ACL 2019 Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019 Interpreting and Evaluating Neural Network Robustness IJCAI 2019 Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019 Named Entity Recognition - Is There a Glass Ceiling? CoNLL 2019 Pitfalls in the Evaluation of Sentence Embeddings ACL 2019 To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019 Unreproducible Research is Reproducible ICML 2019 Active Testing: An Efficient and Robust Framework for Estimating Accuracy ICML 2018 Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness NAACL 2018 Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking COLING 2018 Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth AISTATS 2018 Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research JMLR 2018 Topic Intrusion for Automatic Topic Model Evaluation EMNLP 2018 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 Saliency Revisited: Analysis of Mouse Movements Versus Fixations CVPR 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 Analysis of Scores, Datasets, and Models in Visual Saliency Prediction ICCV 2013 Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics ICCV 2013