Evaluation

Bias Analysis and Mitigation in the Evaluation of Authorship Verification ACL 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 CaRB: A Crowdsourced Benchmark for Open IE EMNLP 2019 Challenges and frontiers in abusive content detection ACL 2019 Cold Case: The Lost MNIST Digits NeurIPS 2019 Confirming the Non-compositionality of Idioms for Sentiment Analysis ACL 2019 Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough? NAACL 2019 Deep Dominance - How to Properly Compare Deep Neural Models ACL 2019 Describing Like Humans: On Diversity in Image Captioning CVPR 2019 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019 Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization EMNLP 2019 Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019 Evaluating Automatic Term Extraction Methods on Individual Documents ACL 2019 Evaluating Question Answering Evaluation EMNLP 2019 Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019 Explaining Simple Natural Language Inference ACL 2019 Findings of the WMT 2019 Shared Tasks on Quality Estimation ACL 2019 GEval: Tool for Debugging NLP Datasets and Models ACL 2019 Handling Divergent Reference Texts when Evaluating Table-to-Text Generation ACL 2019 HighRES: Highlight-based Reference-less Evaluation of Summarization ACL 2019 How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG EMNLP 2019 HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models NeurIPS 2019 Interpretable Predictive Modeling for Climate Variables with Weighted Lasso AAAI 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019