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Evaluation

1654 directly classified papers

Papers per year

Papers

Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020
Probing Pretrained Language Models for Lexical Semantics EMNLP 2020
Speaker Sensitive Response Evaluation Model ACL 2020
Controlled Crowdsourcing for High-Quality QA-SRL Annotation ACL 2020
What Question Answering can Learn from Trivia Nerds ACL 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations ACL 2020
Non-Autoregressive Grammatical Error Correction Toward a Writing Support System AACL 2020
Investigating Low-resource Machine Translation for English-to-Tamil AACL 2020
Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020
Calibration of Pre-trained Transformers EMNLP 2020
JukeBox: A Multilingual Singer Recognition Dataset INTERSPEECH 2020
A Report on the VarDial Evaluation Campaign 2020 COLING 2020
Small but Mighty: New Benchmarks for Split and Rephrase EMNLP 2020
Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP 2020
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems EMNLP 2020
Intrinsic Evaluation of Summarization Datasets EMNLP 2020
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation EMNLP 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020
RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP 2020
WER we are and WER we think we are EMNLP 2020
What do we expect from Multiple-choice QA Systems? EMNLP 2020