We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets exploring demographics such as metrics to identify and assess relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work welcoming socialogical perspectives.

Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the COLING 2020 guidelines. Supplementary material can be added. Blind submission is required.

Shared task participants will be invited to submit short papers (4-6 pages, plus references). No need to anonymize papers in this shared task submission.