We provide the code and data for the following paper: Mitigating Stereotypes in Word Embedding through Sentiment Modulation by Huije Lee, Jin-Woo Chung, and Jong C. Park. Korea Software Congress 2018 (KSC 2018), Pyeongchang (Korea), December 2018. This repository provides a model that mitigates stereotypes in word embedding through sentiment modulation.
The detailed instructions are in the readme file within the zip file.
Github: https://github.com/nlpcl-lab/mitigating-stereotype
Follow mitigating-stereotype
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of mitigating-stereotype!