Computational Linguistics, established in 1974, is the official flagship journal of the Association for Computational Linguistics (ACL).
Tags:#CLJournal #NLProccljournal.org United StatesJoined October 2024
🏆We are proud to announce that the Computational Linguistics Journal impact factor is now 13.4! This ranks it 13 out of 210 journals in Computer Science-Artificial Intelligence, 7 out of 185 in Computer Science-Interdisciplinary Applications, 1 out of 312 in Linguistics #NLProc
CL Journal has over 50 years of history in the field. While the field is moving, some of the articles from decades ago provide perspective and still relevant content. What do you think of these articles from 20 and 40 years ago? (2006 and 1986) #NLProc
Like humans, LLMs can be right for the wrong reasons. They can also be wrong for the wrong reasons. Anthropocentric bias has gone largely unexamined, posing a serious obstacle to the objective assessment of LLM capacities. Read more at doi.org/10.1162/COLI.a…#NLProc#CLJournal
Interpretability provides a toolset for understanding how and why LMs behave in certain ways. This survey proposes a perspective on interpretability research grounded in causal mediation analysis: doi.org/10.1162/COLI.a…#NLProc#CLJournal@SunJiuding@ericwtodd
How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text? This article explores a very important question for low-resource languages by experimenting with various techniques across 10 languages.A must-read at:doi.org/10.1162/COLI.a…#CLJournal#NLP
Should NLP metrics for bilingual code-switching use words as the token level or Intonation Units? Authors of this article show that intonation units will enhance comparisons between bilingual individuals, settings, and communities: doi.org/10.1162/COLI.a…#NLProc@rpattichi
Have you heard of soft metrics such as soft micro F1? In this article, the authors argue that for evaluating model predictions with human label variation, the standard metrics may not be sufficient. Read more at: doi.org/10.1162/COLI.a…#NLProc
To assess whether multilingual NLP performs well across languages, we need to evaluate it on all world languages. That is not feasible. This paper implements two sampling methods from linguistic typology and provides a Python package to facilitate this: doi.org/10.1162/COLI.a…
Developing methods to assess the factuality of LLMs has become urgent. This paper presents LLM-OASIS for the factuality evaluation task. It turns out it significantly challenges SOTA LLMs. If you're up for improving over what's out there, start reading: doi.org/10.1162/COLI.a…
Language Models are susceptible to adversarial attacks, where even subtle perturbations to input texts adversely affect model performance. Yang et al. propose a novel method to tackle this called Defensive Dual Masking (DDM). Read more at: doi.org/10.1162/COLI.a…#NLProc #NLP
Do current LLMs with fast-improving functional linguistic abilities exhibit distinct localization of formal (e.g., producing fluent, grammatical text) and functional (e.g., reasoning and consistent fact retrieval) linguistic mechanisms? Answer in: doi.org/10.1162/COLI.a…#NLProc
Have you heard of linguistic steganography? It seeks to conceal secret information within natural language text. Liu et al. propose a novel method called SA-ANS. It's a self-adaptive framework based on a self-adjusting Asymmetric Numeral System: doi.org/10.1162/COLI.a…#NLProc
If your research is around metaphor detection and interpretation, this article is for you! It introduces Meta4XNLI, the first parallel dataset for Natural Language Inference (NLI), in both English
and Spanish: doi.org/10.1162/COLI.a…#NLProc
What % of the NLP papers measure their impact in the real world? This paper proposes an "impact evaluation" of NLP models or systems for real-world usage, changing the research culture of NLP to focus more on real-world
impact and less on SOTA-chasing: doi.org/10.1162/COLI.a…
Hallucinations pose a substantial challenge to the reliability of LLMs in real-world scenarios. Zhang et al. survey methods of detection, explanation, & mitigation of hallucination, & provide a taxonomy & list of benchmarks for evaluation in this paper:
doi.org/10.1162/COLI.a…
172 Followers 470 FollowingMSc. TU Munich, MSc. Sapienza University of Rome, Italy Junior Researcher at DIET Sapienza University of Rome on Deep Neural Networks, Ex-Developer at TCS
0 Followers 62 FollowingAs with all things, this too shall pass. At some point. I hope.
he/him
Undergrad Student Researcher in ML
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117 Followers 425 FollowingComputational Linguist (PhD) 📖 | Interested in cognitively-plausible models of dialogue understanding 🧠🤖💬 | On the research scientist job market 🔦
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935 Followers 332 FollowingProfessor of Computational Linguistics at Heidelberg University · Working on NLP for NLU · Leads the @HD_NLP Heidelberg University NLP Group.
387 Followers 227 FollowingFull Professor of NLP || Head of Natural Language Learning & Generation (@NLLG_lab) lab at @utn_nuremberg || NLP, AI, Math, Social Science, Humanities
2K Followers 97 FollowingI am a computer scientist who works on natural language generation and evaluation, often in healthcare contexts. I teach at Aberdeen University.
28K Followers 298 FollowingProfessor of linguistics and professor of computer science at Stanford and author of the James Beard award finalist "The Language of Food"
6K Followers 787 FollowingJohn C Malone Professor at @JohnsHopkins @JHUCompSci @jhuclsp @jhumceh; Part time @techatbloomberg (tweets my own)
Director @hopkinsdsai
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5K Followers 1K FollowingComputational Linguist and Professional Nerd at Georgetown University
he/him pronouns, ALL the prepositions
@[email protected] @complingy.bsky.social
879 Followers 717 FollowingAssociate Prof. in NLP @ Monash University.
ARR Editor-in-chief.
ACL (Association for Computational Linguistics) director of publicity. Opinions are my own.
10K Followers 613 FollowingJanice M. Jenkins Collegiate Professor of Computer Science @UMich | Director @Michigan_AI Lab | Former @ACLmeeting President | PECASE, AAAI, ACL, ACM Fellow
4K Followers 2K FollowingTrivia Nerd, NLPer, Dad, Colorado native in Maryland exile
Working on QA, negotiating/cooperating bots, ML explanations
Exemplar for absent-minded professor
204 Followers 128 FollowingProf @ NYU Abu Dhabi, director of CAMeL Lab, president of SIGARAB. Arabic NLP Specialist. ACL Fellow. Computer Scientist, Linguist, Artist.
3K Followers 150 FollowingEstablished 1993, the University of Sheffield's #NLProc Group is one of the UK's largest natural language processing research centres.
4K Followers 27 FollowingMPower Professor; Professor, Linguistics and Institute for Advanced Computer Studies, University of Maryland; Tech Advisor, FiscalNote, Coleridge Initiative
9K Followers 203 FollowingThe Natural Language Processing Group @Cambridge_Uni, Computer Science department #NLProc #ML. Account managed by @FilipTrhlik.
8K Followers 7K FollowingCenter for Language and Speech Processing at @JohnsHopkins #NLProc #MachineLearning #AI https://t.co/6IXR5OSQtw
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3K Followers 632 FollowingNLP researcher working on paraphrasing, NLP for language education, machine translation, and dialogue systems. MSRA ⏩ Osaka University ⏩ Professor@TITECH
5K Followers 27 FollowingThe European Chapter of the Association for Computational Linguistics
An annual Top-tier *ACL conference. #EACL2027 #NLProc
March 9-14, 2027
9K Followers 52 FollowingThe official account of the Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics.
7K Followers 13 FollowingHost of scientistic papers for @aclmeeting and other venues in the field of Natural Language Processing
Not closely monitored, so responses may be delayed.
17K Followers 53 FollowingEMNLP 2026 - The 2026 Conference on Empirical Methods in Natural Language Processing
Hashtag: #EMNLP2026
Dates: October 24 –29
Submission: ACL ARR March and May