The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) announced that it has accepted two papers co-authored by Adam Poliak, Roman Family Teaching and Research Fellow, alongside Barnard students and collaborators. The first paper, titled “Characterizing Test Anxiety on Social Media,” was co-authored by Esha Julka ’24 and Olivia Kowalishin ’20 with co-supervisor Jalisha Jenifer, an adjunct assistant professor and postdoctoral research fellow. The paper analyzes discussions of test anxiety online. Julka and Kowalishin will present their work at the Widening Natural Language Processing (WiNLP) Workshop on November 11, 2021.
The second paper, titled “Discovering Changes in Birthing Narratives During COVID-19,” was co-authored by Noreen Mayat ’24 and Daphna Spira ’24, and co-supervised by Caitlin Dreisbach, a postdoctoral research scientist at The Data Science Institute. The authors identified changes in online narratives describing birthing experiences during the COVID-19 pandemic. Mayat and Spira will also be presenting their work during the WiNLP Workshop this month.
The fifth WiNLP Workshop will be held in conjunction with EMNLP 2021 in Punta Cana, Dominican Republic, in a hybrid (both in-person and virtual) format. The WiNLP acronym stands for Widening NLP, which is meant to establish the workshop as a more welcoming event to members of any underrepresented group. This year’s iteration of the workshop will “seek to highlight women and LGBTQ+ researchers and bring diversity in scientific background, discipline, training, obtained degrees, and seniority.”