US – ET
6:00 – 9:20Session 1 (Multilinguality)APAC friendly
6:00 – 6:10Opening
6:10 – 7:10Keynote 1Nizar Habash
7:10 – 7:30Break
7:30 – 7:38gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender PhenomenaEva Vanmassenhove and Johanna Monti
7:38 – 7:46Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese AdjectivesMeichun Jiao and Ziyang Luo
7:46 – 7:54Evaluating Gender Bias in Hindi-English Machine TranslationKrithika Ramesh, Gauri Gupta and Sanjay Singh
7:54 – 8:20QA (Multilinguality)
8:20 – 8:40Break
8:40 – 9:20Poster Session
10:30 – 14:00Session 2 (Gender and Society)EUR friendly
10:30 – 11:30Keynote 2Sasha Luccioni
11:30 – 11:50Break
11:50 – 12:30Panel – Gender and Bias in a Multicultural and Multilingual ContextPanelists: Nizar Habash, Eva Vanmassenhove, Jieyu Zhao, Hal Daume III
12:30 – 12:50Break
12:50 – 12:58Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational AssistantsGavin Abercrombie, Amanda Cercas Curry, Mugdha Pandya and Verena Rieser
12:58 – 13:10Gender Bias in Text: Origin, Taxonomy, and ImplicationsJad Doughman, Wael Khreich, Maya El Gharib, Maha Wiss and Zahraa Berjawi
13:10 – 13:22Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our CourtsNoa Baker Gillis
13:22 – 13:45QA (Gender and Society)
15:00 – 17:00Session 3 (Data)AMER friendly
15:00 – 15:12Towards Equal Gender Representation in the Annotations of Toxic Language DetectionElizabeth Excell and Noura Al Moubayed
15:12 – 15:20Using Gender and Polarity Informed Models to Investigate BiasSamia Touileb, Lilja Øvrelid and Erik Velldal
15:20 – 15:32Assessing Gender Bias in Wikipedia: Inequalities in Article TitlesAgnieszka Falenska and Özlem Çetinoğlu
15:32 – 15:40Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on LibrispeechMahault Garnerin, Solange Rossato and Laurent Besacier
15:40 – 15:52Generating Gender Augmented Data for NLPNishtha Jain, Maja Popović, Declan Groves and Eva Vanmassenhove
15:52 – 16:00Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference ResolutionHillary Dawkins
16:00 – 16:20QA (Data)
16:20 – 16:30Closing Remarks