4134 submissions have been submitted to the ARR August cycle, a 14% increase compared to the ARR October 2025 cycle corresponding to EACL🔥. #EACL2027 in Athens is likely to be the biggest EACL ever 👀 #NLProc @aclrollingreview.bsky.social
Dirk Hovy
@dirkhovy.bsky.social
Professor @milanlp.bsky.social for #NLProc, compsocsci, #ML Also at http://dirkhovy.com/
#TBT #NLProc "Narratives at Conflict" by Sinelnik and @dirkhovy.bsky.social looks at hidden tactics of disinformation campaigns! They analyzed 8,000 news articles across 4 languages to reveal how disinformation campaigns adapt narratives for different audiences. 🕵️♀️ aclanthology.org/2024.acl-srw...
Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
Antonina Sinelnik, Dirk Hovy. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). 2024.
aclanthology.org
#TBT #NLProc 'Language is Scary when Over-Analyzed...' by @arimuti.bsky.social et al. explores argumentative reasoning in misogyny detection (2024). Detecting implicit misogyny proves challenging for language models. aclanthology.org/2024.emnlp-m...
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts
Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
aclanthology.org
#MemoryModay #NLProc Fornaciari et al.'s 2022 'Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa' is a useful Python tool for benchmarking NLP predictions with bootstrapped sampling. aclanthology.org/2022.acl-dem...
Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa
Tommaso Fornaciari, Alexandra Uma, Massimo Poesio, Dirk Hovy. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2022.
aclanthology.org
Text as Data has been a wonderful, long-running, non-archival workshop for empirical research at the intersection of AI and social science (especially work involving text). After a few years off, it will be happening again this year as a one-day event in early October!
Do you work across computational methods, social sciences, and the humanities? Submit to Text as Data 2026! 📄 One-page submissions 🔓 Non-archival ⏰ Due August 1 📍 October 5 @UCBerkeley tada2026.org
🏆 Congrats to @zeerak.bsky.social and @dirkhovy.bsky.social on the 2016 Test of Time Award! 🎉 "Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter" has shaped research on #hatespeech! Paper: aclanthology.org/N16-2013/ #NLProc
#TBT #NLProc 'Universal Joy: A Data Set and Results for Classifying Emotions Across Languages' by Lamprinidis et al. (2021) explores how AI research affects our planet. Tech can be green too! #SustainableTech aclanthology.org/2021.wassa-1.7
Universal Joy A Data Set and Results for Classifying Emotions Across Languages
Sotiris Lamprinidis, Federico Bianchi, Daniel Hardt, Dirk Hovy. Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 2021.
aclanthology.org
#TBT #NLProc 'Exploring challenges in Zero-shot Cross-lingual Hate Speech Detection, @deboranozza.bsky.social (2021) reveals how current models may inaccurately label non-hateful, language-specific interjections as hate speech signals.' aclanthology.org/2021.acl-sho...
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection
Debora Nozza. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short…
aclanthology.org
#MemoryMonday #NLProc 'BERTective: Language Models and Contextual Information for Deception Detection' by Fornaciari, T. et al. (2021) explores AI's ability to detect deceit through context. www.aclweb.org/anthology/20...
BERTective: Language Models and Contextual Information for Deception Detection
Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021.
aclweb.org
#TBT #NLProc Hessenthaler et al.'s 2022 work delves into AI's link with fairness & energy reduction in English NLP models, challenging bias reduction theories. #AI #NLP #sustainability aclanthology.org/2022.emnlp-m...
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler, Emma Strubell, Dirk Hovy, Anne Lauscher. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
aclanthology.org
Very happy to have given my first keynote at an #NLProc related conference! This morning at CORIA-TALN 2026 in Nantes, I talked about emerging risks and research directions around the everyday use of LLMs. coria-taln-2026.ls2n.fr/conferences-...
#MemoryMonday #NLProc 'Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists' by Attanasio et al. redefines bias reduction in #AI, sans prior term knowledge. #2022Publication aclanthology.org/2022.finding...
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
Giuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis. Findings of the Association for Computational Linguistics: ACL 2022. 2022.
aclanthology.org
#TBT #NLProc Bergman et al.'s 'Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design' explores AI launch with a value-sensitive lens. aclanthology.org/2022.sigdial...
Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design
A. Stevie Bergman, Gavin Abercrombie, Shannon Spruit, Dirk Hovy, Emily Dinan, Y-Lan Boureau, Verena Rieser. Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and…
aclanthology.org
Thank you, @punarpuli.bsky.social, for a great article! Find our paper and more insights from Jiaxin Pei, Sanmi Koyejo, @dirkhovy.bsky.social, and me in this thread👇 bsky.app/profile/joac...
Can you boost your AI review scores by asking an LLM to rewrite your paper? Yes! We call it paper laundering Our @icmlconf.bsky.social spotlight paper argues current AI reviewers aren't ready to automate peer review, and outlines what a science of peer review automation should look like 🧵👇 #ICML2026
Could not be prouder of @zeerak.bsky.social for this accomplishment: from first paper ever (based on an MSc thesis) to 10-year ToT award. We could not have anticipated the lasting impact of this paper, but it's a great honor – and a wonderful story for any student/advisor team (see Zee's thread).
Thrilled to have been awarded the Association for Computational Linguistics 2016 test of time award for my first ever paper, written with/under the guidance of @dirkhovy.bsky.social A couple of cute things about the paper/its genesis/its outcomes
#MemoryMonday #NLProc Uma, A. N. et al. examine AI model training in 'Learning from Disagreement: A Survey'. Disagreement-handling methods' performance is shaped by evaluation methods & dataset traits. www.jair.org/index.php/ja...
jair.org
@taniseceron.bsky.social is presenting her work about political content in pre-training and post-training data at the AI & Society conference. #AIandSociety #NLProc
On the heels of a fantastic Dagstuhl seminar on Social Intelligence in AI (thx, @jennhu.bsky.social, @maartensap.bsky.social, @tomerullman.bsky.social, & Lucie Flek), a callback to how we thought about this 5 years ago.
#TBT #NLProc 'Importance of Modeling Social Factors of Language: Theory and Practice' by @dirkhovy.bsky.social, Diyi Yang discusses NLP limitations, calling for focus on social factors, not just content. aclanthology.org/2021.naacl-m...
#TBT #NLProc 'Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview' by Shah, Schwartz, Dirk Hovy (2020). Dive into their mathematical NLP bias framework, its origins, impacts, and types. #AIEthics aclanthology.org/2020.acl-mai...
aclanthology.org
#TBT #NLProc Check out 'Helpful or Hierarchical?' by Rashid, F. et al advocating better non-binary representation in tech. #Inclusion
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
Farzana Rashid, Tommaso Fornaciari, Dirk Hovy, Eduardo Blanco, Fernando Vega-Redondo. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.
aclanthology.org
#MemoryModay #NLProc 'We will Reduce Taxes' - Identifying Election Pledges with Language Models' by Fornaciari et al. makes election promise tracking effortless with neural models.
#TBT #NLProc Bianchi, Terragni & Dirk Hovy present a smarter technique for topic modeling. Their method uses contextual embeddings for clear, meaningful word clusters, transforming how we interpret large text collections.
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
Federico Bianchi, Silvia Terragni, Dirk Hovy. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language…
aclanthology.org
I see lots of posts about the automated reviewing at AAAI. Just to be contrarian: here's a counter from @dirkhovy.bsky.social's team: openreview.net/forum?id=cJh...
Stop Automating Peer Review Without Rigorous Evaluation
As AI systems increasingly generate scientific knowledge, the human ability to critically evaluate research becomes more important, not less. Yet large language models offer a tempting solution to...
openreview.net
#MemoryModay #NLProc 'Visualizing Regional Language Variation Across Europe on Twitter' by Dirk Hovy et al. uncovers language differences across Europe with stunning visuals. Language is art! #Linguistics link.springer.com/referencewor...
Visualizing Regional Language Variation Across Europe on Twitter
Geotagged Twitter data allows us to investigate correlations of geographic language variation, both at an interlingual and intralingual level. Based on data-driven studies of such relationships, this…
link.springer.com
📢⚠️ IMPORTANT DATE CORRECTION: the ARR deadline for EACL 2027 is Aug 3, 2026 (not Aug 6 as previously announced). EACL is earlier than usual in '27, so this is the only viable ARR cycle! 📚 All areas of CL/NLP + related fields welcome. Full CfP coming soon. #NLProc #EACL2027
Attention #NLProc researchers, the EACL 2027 website is officially LIVE: 2027.eacl.org! 🎉 🇬🇷 Join us in Athens, Greece (Mar 9-13, 2027) at #EACL2027 📅 ARR submission deadline: Aug 6, 2026. Open to all areas of CL/NLP + related fields. Stay tuned for the detailed CfP soon!
Can you boost your AI review scores by asking an LLM to rewrite your paper? Yes! We call it paper laundering Our @icmlconf.bsky.social spotlight paper argues current AI reviewers aren't ready to automate peer review, and outlines what a science of peer review automation should look like 🧵👇 #ICML2026
🗓️ The ARR March review deadline is approaching: April 20 AoE. Finishing up your review? Run it through REVAS, a peer review assistant that makes your suggestions more actionable, flags unsupported claims, and grounds your feedback in the paper. 👉 revas.mbzuai.ac.ae
REVAS — AI-Powered Peer Review Feedback for Academics
REVAS analyzes the weakness section of your peer review, scoring each paragraph on actionability, helpfulness, grounding, and verifiability.
revas.mbzuai.ac.ae
#MemoryModay #NLProc Uma et al. (2020) highlights 'A Case for Soft Loss Functions' efficacy using soft labels & crowd annotations in AI tasks, outshining top-tier methods.
ojs.aaai.org
To accommodate ACL decisions, we are further extending the commitment deadline for pre-reviewed ARR submissions to April 7!
✨The NLP+CSS workshop is returning to ACL 2026!✨ Our commitment deadline for pre-reviewed ARR submissions has been extended to April 5! Website/CfP: sites.google.com/site/nlpandc... #NLProc #CompSocialSci #ComputationalSocialScience #ACL2026NLP @aclmeeting.bsky.social