data quality

What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021 A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction EMNLP 2020 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 Identifying Incorrect Labels in the CoNLL-2003 Corpus CoNLL 2020 In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets EMNLP 2020 Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020 Intrinsic Evaluation of Summarization Datasets EMNLP 2020 Maintaining Quality in FEVER Annotation ACL 2020 Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples ACL 2019 Outlier Detection for Improved Data Quality and Diversity in Dialog Systems NAACL 2019 Automatically Inferring Data Quality for Spatiotemporal Forecasting ICLR 2018 Machine Learning Powered Data Platform for High-Quality Speech and NLP Workflows Interspeech 2018 The JHU Parallel Corpus Filtering Systems for WMT 2018 EMNLP 2018 The Many Benefits of Annotator Rationales for Relevance Judgments IJCAI 2017 DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services OSDI 2016