Computational Linguistics Journal

Our Editor-in-Chief, Dr. Wei Lu, presents a new vision for the journal in the editorial 'Opening a New Chapter for Computational Linguistics', marking a forward-looking transition as the journal enters its second half-century. Read: direct.mit.edu/coli/article/5…

🏆 Who will take home the very first award? The inaugural ACL Computational Linguistics Doctoral Dissertation Award will be revealed Monday, July 28 (Day 1, 4pm) at #ACL2025. Chaired by Kathy McKeown. Any predictions? 🤔🔥

🚨 As LLMs generate more of the text we see daily, detecting AI-generated text is more critical than ever. New survey from @UM_1981 explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use. Read: direct.mit.edu/coli/article/5…

🔍 Neural semantic parsers are great – but often just parrot surface text. @univgroningen researchers propose a taxonomical parser that builds deeper, hierarchical meaning representations. Read: direct.mit.edu/coli/article/5…

🚀 New from @QMUL: A unified framework for evaluating synthetic data generation from user-generated text! 📱💬 It tackles style, meaning, and privacy – paving the way for safe, shareable, high-quality synthetic language data. Read: direct.mit.edu/coli/article/5…

How do humans understand novel sentence meanings? A new dataset (STS3k) from @UniMelb & Hitotsubashi researchers tests compositionality in language models. Findings: hybrids of syntax + vectors better match human judgments than top transformers.🧠📚 Read: direct.mit.edu/coli/article/5…

Researchers from @InfAtEd, @cl_uzh, Supertext, and @Microsoft introduce ACES, a challenging benchmark spanning 146 language pairs, in their 'Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets'. Read: direct.mit.edu/coli/article/5…

Researchers from @GU_Linguistics @MaiNLPlab @AboAkademi @IndianaUniv present “eRST: A Signaled Graph Theory of Discourse Relations and Organization”. Read: direct.mit.edu/coli/article/5…

In his ACL Lifetime Achievement Award article, Dr. Ralph Grishman reflects on five decades of progress in Information Extraction — from early parsers to MUC, ACE, and KBP. 📄 MUCking In, or Fifty Years in Information Extraction Read: direct.mit.edu/coli/article/5…