Bluesky Β· Hashtag

#NLProc

231
posts Β· 30d
19
users
8
posts / day
12.2
posts / user
+ 13% vs last week

#NLProc is an active hashtag on Bluesky. In the last 30 days, 19 people shared 231 posts with it β€” around 8 a day. Activity is up 13% versus the previous week, peaking on Jul 20 with 24 posts.

#NLProc posts per day (last 30 days)

Posts with #NLProc

Julia Mendelsohn
@jmendelsohn2.bsky.social
over 1 year ago
New preprint! Metaphors shape how people understand politics, but measuring them (& their real-world effects) is hard. We develop a new method to measure metaphor & use it to study dehumanizing metaphor in 400K immigration tweets Link: bit.ly/4i3PGm3 #NLP #NLProc #polisky #polcom #compsocialsci 🐦🐦
Screenshot of top half of first page of paper. The paper is titled: "When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models". The authors are Julia Mendelsohn (University of Chicago) and Ceren Budak (University of Michigan). The top right corner contains a visual showing the sentence "They want immigrants to pour into and infest this country". The caption says: Figure 1: Dehumanizing sentence likening immigrants to the source domain concepts of Water and Vermin via the words "pour" and "infest". 

The abstract text on the left reads: Metaphor, discussing one concept in terms of another, is abundant in politics and can shape how people understand important issues. We develop a computational approach to measure metaphorical language, focusing on immigration discourse on social media. Grounded in qualitative social science research, we identify seven concepts evoked in immigration discourse (e.g. "water" or "vermin"). We propose and evaluate a novel technique that leverages both word-level and document-level signals to measure metaphor with respect to these concepts. We then study the relationship between metaphor, political ideology, and user engagement in 400K US tweets about immigration. While conservatives tend to use dehumanizing metaphors more than liberals, this effect varies widely across concepts. Moreover, creature-related metaphor is associated with more retweets, especially for liberal authors. Our work highlights the potential for computational methods to complement qualitative approaches in understanding subtle and implicit language in political discourse.
6 64 182
Naomi Saphra
@nsaphra.bsky.social
almost 2 years ago
Taking a stand that we aren’t doing the #nlproc tag here. It’s #nlp. We used #nlproc because a decade ago the #nlp tag was full of sleazy scammers selling guides for hypnotizing women into sleeping with you. But guess what? We won. All the sleazy scammers are doing natural language processing now.
11 29 181
ACL 2027
@aclmeeting.bsky.social
almost 2 years ago
Hello, Computational linguistics/NLP world in Bluesky! We're creating the same accounts on other social media platforms in Bluesky! #NLProc
4 31 131
Stella Biderman
@stellaathena.bsky.social
about 1 year ago
People keep plugging AI "Co-Scientists," so what happens when you ask them to do an important task like finding errors in papers? We built SPOT, a dataset of STEM manuscripts across 10 fields annotated with real errors to find out. (tl;dr not even close to usable) #NLProc arxiv.org/abs/2505.11855
4 31 119
Myrthe Reuver
@myrthereuver.bsky.social
over 1 year ago
Hot take: Working another weekend this semester, I am left wondering: Why does the #NLProc publication process have so much artificial urgency baked into it? Requiring responses within 24h, emergency reviewers, everything urgent. Like, why? Slow science can also be a community goal.
7 6 91
Computational Linguistics Journal
@complingjournal.bsky.social
1 day ago
If you're an author of an upcoming paper in the CL journal, please make yourself known (follow us or make your affiliation and field clear in your profile), so we can tag you when your paper is out! Thanks! #NLPRoc #CLJournal PS. Ok, the photo is from the past, but hope it gets your attention πŸ™ƒ
0 2 8
Pietro Lesci
@pietrolesci.bsky.social
about 1 year ago
All modern LLMs run on top of a tokeniser, an often overlooked β€œpreprocessing detail”. But what if that tokeniser systematically affects model behaviour? We call this tokenisation bias. Let’s talk about it and why it mattersπŸ‘‡ @aclmeeting.bsky.social #ACL2025 #NLProc
1 8 62
Christopher Manning
@chrmanning.bsky.social
almost 2 years ago
There are 2 mistakes you can make about LLMs: β‘  Thinking everything LLMs say is correct, they can reason, and with a bit more scale they’ll get us to superintelligence β‘‘ Thinking LLMs are good for almost nothingβ€”they are FAR better at all #NLProc tasks than previous methods
1 10 57
ACL 2027
@aclmeeting.bsky.social
about 1 year ago
πŸ₯³ πŸŽ‰ ❀️ The ACL 2025 Proceedings are live on the ACL Anthology πŸ₯° ! We’re thrilled to pre-celebrate the incredible research πŸ“š ✨ that will be presented starting Monday next week in Vienna πŸ‡¦πŸ‡Ή ! Start exploring πŸ‘‰ aclanthology.org/events/a…. #NLProc #ACL2025NLP #ACLAnthology

aclanthology.org

Annual Meeting of the Association for Computational Linguistics (2025) - ACL Anthology

pdf bibProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Wanxiang Che | Joyce Nabende | Ekaterina Shutova | Mohammad Taher Pilehvar

0 19 57

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