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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…

Researchers from Georgetown Linguistics MaiNLPlab Åbo Akademi University Indiana University present “eRST: A Signaled Graph Theory of Discourse Relations and Organization”. Read: direct.mit.edu/coli/article/5…

Researchers from School of Informatics, The University of Edinburgh, Zurich Computational Linguistics Group, 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…

How do humans understand novel sentence meanings? A new dataset (STS3k) from University of Melbourne & 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…

🚀 New from Queen Mary University of London: 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…