#NLProc
It seems like the #nlproc community is overdue for a conversation about how we should and shouldn't use text processing in reviewing, and also, I guess, what peer review & science even are.

#emnlp2026 , 🧵>>
A dataset of the responses will hopefully be coming soon. Summary of the results:
October 26, 2026 at 3:05 AM
Nice to have concrete names for these phenomena #nlproc #linguistics
If you've noticed a distinct dialect emerging in frontier AI models and struggled to understand what they're talking about, you're not crazy!

We turned to psycholinguistics to investigate what makes the writing style so weird, and why this might be happening

🚨New preprint! 🧵
October 25, 2026 at 3:12 PM
At #EMNLP2026 LUHME today, I spoke about Explainable & Robust Automatic Fact Checking.

AI-assisted fact-checking needs more than accurate verdicts: it needs evidence, faithful explanations, and effective uncertainty communication.

isabelleaugenstein.github.io/slides/2026_...

#NLProc #XAI
isabelleaugenstein.github.io
October 28, 2026 at 5:58 PM
📢 ARR Author Reminder

Under ACL policy, authors cannot be added after the deadline.
ARR editors will not reply individually to requests to remove authors due to incomplete profiles or other routine reasons.

www.aclweb.org/adminwiki/in...

#ARR #NLProc
October 28, 2026 at 9:08 PM
#MemoryMonday #NLProc
'Comparing Bayesian Models of Annotation' by Paun et al. dives into corpus annotation, evaluating six models' predictiveness and accuracy. Essential for navigating annotators and item difficulties.
aclanthology.org/Q18-1040
Comparing Bayesian Models of Annotation
Silviu Paun, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz, Massimo Poesio. Transactions of the Association for Computational Linguistics, Volume 6. 2018.
aclanthology.org
October 26, 2026 at 10:40 AM
EMNLP in Budapest is around the corner, one of the flagship #NLPROC conferences. We are represented with 4 contributions. Come to talk to us, if you are there!
October 22, 2026 at 9:05 AM