Preface

Long Papers

Semi-Supervised Topic Modeling for Gender Bias Discovery in English and Swedish by Hannah Devinney, Jenny Björklund and Henrik Björklund

Investigating Societal Biases in a Poetry Composition System by Emily Sheng and David Uthus

Gender-Aware Reinflection using Linguistically Enhanced Neural Models by Bashar Alhafni, Nizar Habash and Houda Bouamor

Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Bias Research by Lucy Havens, Beatrice Alex, Melissa Terras and Benjamin Bach

Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings by Masashi Takeshita, Yuki Katsumata, Rafal Rzepka and Kenji Araki

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias by Marion Bartl, Malvina Nissim and Albert Gatt

Evaluating Bias In Dutch Word Embeddings by Rodrigo Alejandro Chávez Mulsa and Gerasimos Spanakis

Gender and sentiment, critics and authors: a dataset of Norwegian book reviews by Samia Touileb, Erik Velldal and Lilja Øvrelid

Short Papers

Fine-tuning Neural Machine Translation on Gender-Balanced Datasets by Marta R. Costa-jussà and Adrià de Jorge

Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make It by Danielle Saunders, Rosie Sallis and Bill Byrne

Interdependencies of Gender and Race in Contextualized Word Embeddings by May Jiang and Christiane Fellbaum

Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas by Amanda Cercas Curry, Judy Robertson and Verena Rieser