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Dong Nguyen @dongng.bsky.social · 04/11/2025

Data diversity in NLP has been receiving quite some attention... but how should we actually measure it? Our paper reflects on conceptual and methodological challenges and explores what we can learn from other disciplines to develop better data diversity measures.

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Dong Nguyen @dongng.bsky.social · 04/11/2025

New opinion paper out with Esther Ploeger (Aalborg University): We Need to Measure Data Diversity in NLP — Better and Broader at #EMNLP2025 (main) aclanthology.org/2025.emnlp-m...

aclanthology.org

We Need to Measure Data Diversity in NLP — Better and Broader

Dong Nguyen, Esther Ploeger. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

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Yupei Du @yupeidu.bsky.social · 01/11/2025

How do language models memorize noise while reason impressively well? Our #EMNLP2025 (poster, Nov 5, 11:00-12:30, Hall C) paper shows that memorization reuses internal mechanisms of generalization, even when they are not related to each other! arxiv.org/abs/2507.04782

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Christian Ilbury @christianilbury.bsky.social · 10/10/2025

Please share! We have a number of fully funded PhD studentships in "Designing Responsible Natural Language Processing". I'm a possible supervisor & I'd be keen to support projects on sociolinguistics-AI, e.g., accent bias in AI, language+gender/sexuality+AI. www.responsiblenlp.org

responsiblenlp.org

Our CDT is based in the Edinburgh Futures Institute – the University of Edinburgh’s brand new hub for research, innovation and teaching focused on socially just artificial intelligence and data.

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Dan Jurafsky @jurafsky.bsky.social · 24/08/2025

Now that school is starting for lots of folks, it's time for a new release of Speech and Language Processing! Jim and I added all sorts of material for the August 2025 release! With slides to match! Check it out here: web.stanford.edu/~jurafsky/sl...

web.stanford.edu

Speech and Language Processing

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Ece Takmaz @ecekt.bsky.social · 27/07/2025

together with some Utrecht NLP people at ACL 2025! #acl2025 #acl2025NLP

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Anna Wegmann @annawegmann.bsky.social · 17/07/2025

Wanna do some authorship attribution? Chances are what tokenizer you use matters. Tokenization is Sensitive to Language Variation, probably, more investigation necessary... 📄 ACL Findings paper: arxiv.org/pdf/2502.15343 🧑‍🏫 @dongng.bsky.social @davidjurgens.bsky.social and myself See you at ACL!

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Rebekah Tromble @rebekahtromble.bsky.social · 13/05/2025

The worst happened. We were DOGE’d. Our NSF funding is gone. So now there’s nothing stopping me from sharing Expert Voices Together, a crisis response system for US-based researchers and journalists facing harassment. It's a true passion project. 🧵 1/ expertvoicestogether.org

expertvoicestogether.org

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Darby Saxbe @darbysaxbe.bsky.social · 04/02/2025

🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.

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Language Technologies Institute | CMU @ltiatcmu.bsky.social · 06/01/2025

Are you a pre-doctoral student interested in language technologies, especially focusing on safe, fair and inclusive AI? Our Summer 2025 Language Technology for All Internship could be a great fit. See the link below for more info, and to apply: lti.cs.cmu.edu/news-and-eve...

lti.cs.cmu.edu

CMU LTI Language Technology for All Internship 2025 - Language Technologies Institute - School of Computer Science - Carnegie Mellon University

The LTI is currently seeking applicants for the summer 2025 Language Technology for All Internship

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Dong Nguyen @dongng.bsky.social · 06/12/2024

Congratulations to dr. Qixiang Fang for successfully defending his impressive thesis on "Leveraging Measurement Theory for Natural Language Processing Research" -- the first PhD student I advised from start to finish. It was an honor to be part of the journey. research-portal.uu.nl/en/publicati...

research-portal.uu.nl

Leveraging Measurement Theory for Natural Language Processing Research

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