Abstract is missing.
- Gender as a Variable in Natural-Language Processing: Ethical ConsiderationsBrian Larson. 1-11 [doi]
- These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender AttributionCorina Koolen, Andreas van Cranenburgh. 12-22 [doi]
- A Quantitative Study of Data in the NLP communityMargot Mieskes. 23-29 [doi]
- Ethical by Design: Ethics Best Practices for Natural Language ProcessingJochen L. Leidner, Vassilis Plachouras. 30-40 [doi]
- Building Better Open-Source Tools to Support Fairness in Automated ScoringNitin Madnani, Anastassia Loukina, Alina Von Davier, Jill Burstein, Aoife Cahill. 41-52 [doi]
- Gender and Dialect Bias in YouTube's Automatic CaptionsRachael Tatman. 53-59 [doi]
- Integrating the Management of Personal Data Protection and Open Science with Research EthicsDavid Lewis 0001, Joss Moorkens, Kaniz Fatema. 60-65 [doi]
- Ethical Considerations in NLP Shared TasksCarla Parra Escartín, Wessel Reijers, Teresa Lynn, Joss Moorkens, Andy Way, Chao-Hong Liu. 66-73 [doi]
- Social Bias in Elicited Natural Language InferencesRachel Rudinger, Chandler May, Benjamin Van Durme. 74-79 [doi]
- A Short Review of Ethical Challenges in Clinical Natural Language ProcessingSimon Suster, Stéphan Tulkens, Walter Daelemans. 80-87 [doi]
- Goal-Oriented Design for Ethical Machine Learning and NLPTyler Schnoebelen. 88-93 [doi]
- Ethical Research Protocols for Social Media Health ResearchAdrian Benton, Glen Coppersmith, Mark Dredze. 94-102 [doi]
- Say the Right Thing Right: Ethics Issues in Natural Language Generation SystemsCharese Smiley, Frank Schilder, Vassilis Plachouras, Jochen L. Leidner. 103-108 [doi]