Researchers Break Barriers in ‘Socially Aware’ Natural Language Processing and Other Areas at ACL 2022

Clockwise from top left: Caleb Ziems, Diyi Yang, Mark Riedl, and Chen Liang (size of text on images approximates the frequency of words in selected research paper by each author)

Georgia Tech experts in natural language processing (NLP) — a field that involves building machines that can “understand” human language — will present their latest research May 22 – 27, 2022, at the 60th Meeting of the Association for Computational Linguistics. ACL is the premier international scientific and professional society for people working on computational problems involving human language.

The SALT Lab, directed by Diyi Yang, is a leading contributor. Most of the lab’s nine papers — including an Outstanding Paper — “center nicely around the theme of Socially Aware Natural Language Processing (NLP), the study and development of language technologies from a social perspective,” according to Yang.

Several experts shared their perspectives on the state of NLP and the contributions they are presenting at ACL 2022. For a broader perspective of the field, ML@GT visualized the entire program.

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