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Esra Dönmez

@esradonmez.bsky.social

PhD candidate at the IMS (University of Stuttgart). Working toward pluralistic AI alignment and the development of trustworthy, safe, fair language technologies.

1 Posts98 Follower161 Folgt
blair@blairaf.com · 3mo ago

I'm looking for a new PhD student to come join me at UAlberta & Amii to study trans perspectives on AI policy & the future of AI as part of my new lab. The position is fully funded and offers access to a range of supports - more details in the poster below!

Flyer with qualifications and details for the PhD position.
@nlperspectives.bsky.social · 3mo ago

NLPerspectives workshop is less than a week! Are you ready? We'll have 🎤 Federico Cabitza keynote 📜 Posters ⭕ Participatory session 🚣 Panel 🧑‍🍳 Dinner (check in with us where we plan to go) Looking forward to seeing everyone on May 12, room 4 #LREC! 🏝️

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Dominik Stammbach@dominsta.bsky.social · 5mo ago

I’m organizing two tracks for papers at the intersection of NLP/AI and climate: (1) A special issue in Climatic Change: “NLP and AI as Climate Solutions: Opportunities and Challenges” (2) The 3rd ClimateNLP Workshop at EMNLP 2026 Consider submitting if you have relevant work!

@climate-nlp.bsky.social · 5mo ago

📢📢 Call for Papers is out for the Third ClimateNLP Workshop at EMNLP 2026 📢📢 🚀 We invite short and long papers at the intersection of climate change and NLP 🌍 🗓️ Submission Deadline (preliminary): May 10th, 2026 more info: nlp4climate.github.io/callforpapers/

Maximilian Maurer@mmmaurer.bsky.social · 6mo ago

Extracting structural/linguistic properties for large text datasets can be annoying. Existing tools either are not maintained, do not scale, or do not cover extensive sets of linguistic features. For this reason, I implemented 🧝elfen, a Python package for efficient linguistic feature extraction

Code examples for the Python package elfen: # initializing extractor extractor = elfen.Extractor( data = df, language = "en", text_column = "text") # extracting a single feature: ttr extractor.extract("ttr") # extracting a feature area/group: readability extractor.extract_feature_group("readability") # extracting all available features extractor.extract_features()
Maarten Sap@maartensap.bsky.social · 7mo ago

I'm excited to announce the Call for Papers for the Social Context (SoCon) and Integrating NLP and Psychology to Study Social Interactions (NLPSI) workshop, @ LREC '26 in Palma de Mallorca, Spain! 🗓Deadline: February 16, 2026 🌐Website: socon-nlpsi.github.io 🗓Workshop: May 12, 2026

SoCon-NLPSI'26 | Home

Natural Language Processing (NLP) has undergone a significant evolution, opening up the possibility of capturing high-level aspects of human communication. Key areas of interest include the pragmatics...

socon-nlpsi.github.io

Julia Mendelsohn@jmendelsohn2.bsky.social · 8mo ago

Consider submitting to the NLP+CSS workshop, and please share the call for papers with people who might be interested! #PolCom #CompSocSci #ComputationalSocialScience #NLP #NLProc #langsky #polisky

@nlpandcss.bsky.social · 8mo ago

✨The NLP+CSS workshop is returning to ACL 2026!✨ And this year, we have a new shared task with prizes! Website/CfP: sites.google.com/site/nlpandc... Deadlines: March 5 (direct), March 24 (pre-reviewed ARR) #NLProc #CompSocialSci #ComputationalSocialScience #ACL2026NLP @aclmeeting.bsky.social

Anne Lauscher@a-lauscher.bsky.social · 11mo ago

🚨 Are you looking for a PhD in #NLProc dealing with #LLMs? 🎉 Good news: I am hiring! 🎉 The position is part of the “Contested Climate Futures" project. 🌱🌍 You will focus on developing next-generation AI methods🤖 to analyze climate-related concepts in content—including texts, images, and videos.

Amelie Wuehrl@nlp-amelie.bsky.social · 12mo ago

Crowdsourcing datasets is very common, but how much of those results come from LLMs these days? How can we prevent it? Much of it is unclear. This is why we’re conducing a survey (~10 min) to gather community experiences, challenges, and solutions. Share your thoughts 👉https://tinyurl.com/39ab55wf

Qualtrics Survey | Qualtrics Experience Management

The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

ugent.qualtrics.com

Isabelle Augenstein@iaugenstein.bsky.social · 12mo ago

- Fully funded PhD fellowship on Explainable NLU: apply by 31 October 2025, start in Spring 2026: candidate.hr-manager.net/ApplicationI... - Open-topic PhD positions: express your interest through ELLIS by 31 October 2025, start in Autumn 2026: ellis.eu/news/ellis-p... #NLProc #XAI

PhD fellowship in Explainable Natural Language Understanding Department of Computer Science Faculty of SCIENCE University of Copenhagen

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD f

candidate.hr-manager.net

Gabriella Lapesa@gabriellalapesa.bsky.social · last yr.

Identity-Aware AI workhop at #ECAI2025, in beautiful Bologna! Submit by Aug 22: identity-aware-ai.github.io Organized by: @pranav-nlp.bsky.social Soda Marem Lo, Neele Falk, @gingerinai.bsky.social @davidjurgens.bsky.social @a-lauscher.bsky.social and myself!

Trustworthy AI Lab@tai-lab.bsky.social · last yr.

Wondering what makes each of us unique and how AI should handle human diversity? 🤔 We're organizing Identity-Aware AI workshop at #ECAI2025 Bologna on Oct 25. Deadline: Aug 22 Website: identity-aware-ai.github.io

Identity-Aware AI Workshop announcement. Co-located with ECAI 2025 in Bologna on October 25, with submission deadline August 22. Topics include: Methods for effective, fair, and inclusive AI; Critiques of AI on the exclusion of identities; Methods for detecting and controlling bias; Perspectivist approaches to AI. Submission types: Long papers (8 pages), Short papers (4 pages), Extended abstracts, Mixed-media submissions (videos, blogs, codebase, artworks). For details, visit: identity-aware-ai.github.io
Deutsche Forschungsgemeinschaft@dfg.de · last yr.

#CallforProposals for the 1st funding period in the new established #PriorityProgramme "Robust Assessment & Safe Applicability of Language Modelling", adressing researchers in the interdisciplinary field of the cognitive and computational language sciences. More details ⬇️ www.dfg.de/en/news/news...

Priority Programme “Robust Assessment & Safe Applicability of Language Modelling: Foundations for a New Field of Language Science & Technology (LaSTing)” (SPP 2556)

dfg.de

Myra Cheng@myra.bsky.social · last yr.

How does the public conceptualize AI? Rather than self-reported measures, we use metaphors to understand the nuance and complexity of people’s mental models. In our #FAccT2025 paper, we analyzed 12,000 metaphors collected over 12 months to track shifts in public perceptions.

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