all AI news
User-Centric Gender Rewriting. (arXiv:2205.02211v1 [cs.CL])
Web: http://arxiv.org/abs/2205.02211
May 5, 2022, 1:11 a.m. | Bashar Alhafni, Nizar Habash, Houda Bouamor
cs.CL updates on arXiv.org arxiv.org
In this paper, we define the task of gender rewriting in contexts involving
two users (I and/or You) - first and second grammatical persons with
independent grammatical gender preferences. We focus on Arabic, a
gender-marking morphologically rich language. We develop a multi-step system
that combines the positive aspects of both rule-based and neural rewriting
models. Our results successfully demonstrate the viability of this approach on
a recently created corpus for Arabic gender rewriting, achieving 88.42 M2 F0.5
on a blind …
More from arxiv.org / cs.CL updates on arXiv.org
Latest AI/ML/Big Data Jobs
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote
Director of AI/ML Engineering
@ Armis Industries | Remote (US only), St. Louis, California
Digital Analytics Manager
@ Patagonia | Ventura, California