gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena, Eva Vanmassenhove and Johanna Monti

Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives, Meichun Jiao and Ziyang Luo

Evaluating Gender Bias in Hindi-English Machine Translation, Krithika Ramesh, Gauri Gupta and Sanjay Singh

Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants, Gavin Abercrombie, Amanda Cercas Curry, Mugdha Pandya and Verena Rieser

Gender Bias in Text: Origin, Taxonomy, and Implications, Jad Doughman, Wael Khreich, Maya El Gharib, Maha Wiss and Zahraa Berjawi

Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts, Noa Baker Gillis

Towards Equal Gender Representation in the Annotations of Toxic Language Detection, Elizabeth Excell and Noura Al Moubayed

Using Gender and Polarity Informed Models to Investigate Bias, Samia Touileb, Lilja Øvrelid and Erik Velldal

Assessing Gender Bias in Wikipedia: Inequalities in Article Titles, Agnieszka Falenska and Özlem Çetinoğlu

Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech, Mahault Garnerin, Solange Rossato and Laurent Besacier

Generating Gender Augmented Data for NLP, Nishtha Jain, Maja Popović, Declan Groves and Eva Vanmassenhove

Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution, Hillary Dawkins

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

This year, we introduce the requirement that papers include a statement which explicitly defines

(a) what system behaviours are considered as bias in the work, and

(b) why those behaviours are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). We encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general.

Please, find help on how to write a bias statment in here.

Paper submission link

Final submissions: Both long and short papers can be extended by 1 page in the camera-ready version.