Computational Linguistics Journal
@complingjournal.bsky.social
http://cljournal.org
Computational Linguistics, established in 1974, is the official flagship journal of the Association for Computational Linguistics (ACL).
Computational Linguistics, established in 1974, is the official flagship journal of the Association for Computational Linguistics (ACL).
Pinned
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...
Read: direct.mit.edu/coli/article...
Do LLMs have personalities?
This paper introduces LMLPA, a framework for assessing linguistic personalities of LLMs using adapted Big Five inventories + AI raters, validated for reliability and consistency.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
This paper introduces LMLPA, a framework for assessing linguistic personalities of LLMs using adapted Big Five inventories + AI raters, validated for reliability and consistency.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
September 1, 2025 at 12:08 PM
Do LLMs have personalities?
This paper introduces LMLPA, a framework for assessing linguistic personalities of LLMs using adapted Big Five inventories + AI raters, validated for reliability and consistency.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
This paper introduces LMLPA, a framework for assessing linguistic personalities of LLMs using adapted Big Five inventories + AI raters, validated for reliability and consistency.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
Evaluating NLG remains challenging — even with LLMs.
This survey reviews LLM-based evaluation methods: prompting, fine-tuning, and human–LLM collaboration, and outlines key open problems.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
This survey reviews LLM-based evaluation methods: prompting, fine-tuning, and human–LLM collaboration, and outlines key open problems.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
August 18, 2025 at 10:34 AM
Evaluating NLG remains challenging — even with LLMs.
This survey reviews LLM-based evaluation methods: prompting, fine-tuning, and human–LLM collaboration, and outlines key open problems.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
This survey reviews LLM-based evaluation methods: prompting, fine-tuning, and human–LLM collaboration, and outlines key open problems.
📄 Read in Computational Linguistics: direct.mit.edu/coli/article...
LLMs can generate fluent text — but can they twist your tongue?
TwisterLister generates phoneme-aware tongue twisters, with a 17k-example dataset and phonologically constrained decoding.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
TwisterLister generates phoneme-aware tongue twisters, with a 17k-example dataset and phonologically constrained decoding.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
August 14, 2025 at 10:33 AM
LLMs can generate fluent text — but can they twist your tongue?
TwisterLister generates phoneme-aware tongue twisters, with a 17k-example dataset and phonologically constrained decoding.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
TwisterLister generates phoneme-aware tongue twisters, with a 17k-example dataset and phonologically constrained decoding.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
Can LLMs learn possible human languages but struggle with impossible ones?
Kallini et al. claimed evidence, but Hunter argues their key experiment conflates factors — the core question remains open.
📄 Read the article in Computational Linguistics: direct.mit.edu/coli/article...
Kallini et al. claimed evidence, but Hunter argues their key experiment conflates factors — the core question remains open.
📄 Read the article in Computational Linguistics: direct.mit.edu/coli/article...
August 10, 2025 at 1:39 PM
Can LLMs learn possible human languages but struggle with impossible ones?
Kallini et al. claimed evidence, but Hunter argues their key experiment conflates factors — the core question remains open.
📄 Read the article in Computational Linguistics: direct.mit.edu/coli/article...
Kallini et al. claimed evidence, but Hunter argues their key experiment conflates factors — the core question remains open.
📄 Read the article in Computational Linguistics: direct.mit.edu/coli/article...
Even state-of-the-art MT systems struggle with ambiguous words — especially rare senses.
DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
August 3, 2025 at 11:57 AM
Even state-of-the-art MT systems struggle with ambiguous words — especially rare senses.
DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
DiBiMT is a new fully human-curated benchmark across 8 language pairs to study disambiguation bias in MT.
📄 Read the paper in Computational Linguistics: direct.mit.edu/coli/article...
Reposted by Computational Linguistics Journal
We're honored to announce the recipient of the ACL 2025 Distinguished Service Award! 🏅 This award recognizes extraordinary and sustained contributions to the computational linguistics community.
July 30, 2025 at 12:59 PM
We're honored to announce the recipient of the ACL 2025 Distinguished Service Award! 🏅 This award recognizes extraordinary and sustained contributions to the computational linguistics community.
Reposted by Computational Linguistics Journal
Reposted by Computational Linguistics Journal
Sewon Min 🏆 presenting the essence of her thesis: Rethinking Data Use in Large Language Models -- It won the first ACL Computational Linguistics Doctoral Dissertation Award 🎓✨
#ACL2025NLP #CLJournal @complingjournal.bsky.social
#ACL2025NLP #CLJournal @complingjournal.bsky.social
July 28, 2025 at 2:21 PM
Sewon Min 🏆 presenting the essence of her thesis: Rethinking Data Use in Large Language Models -- It won the first ACL Computational Linguistics Doctoral Dissertation Award 🎓✨
#ACL2025NLP #CLJournal @complingjournal.bsky.social
#ACL2025NLP #CLJournal @complingjournal.bsky.social
Reposted by Computational Linguistics Journal
📚Tom Sherborne: Modeling Cross-lingual Transfer for Semantic Parsing
Sherborne’s dissertation develops sophisticated methods for cross-lingual transfer into low-resource languages, demonstrating their effectiveness in the context of semantic parsing for integration with database APIs.
Sherborne’s dissertation develops sophisticated methods for cross-lingual transfer into low-resource languages, demonstrating their effectiveness in the context of semantic parsing for integration with database APIs.
July 28, 2025 at 2:13 PM
📚Tom Sherborne: Modeling Cross-lingual Transfer for Semantic Parsing
Sherborne’s dissertation develops sophisticated methods for cross-lingual transfer into low-resource languages, demonstrating their effectiveness in the context of semantic parsing for integration with database APIs.
Sherborne’s dissertation develops sophisticated methods for cross-lingual transfer into low-resource languages, demonstrating their effectiveness in the context of semantic parsing for integration with database APIs.
Reposted by Computational Linguistics Journal
📚Ashish Sharma: Human-AI Collaboration to Support Mental Health and Well-Being
Sharma’s dissertation pushes the boundaries of human-AI collaboration along with research in empathy detection and generation, advancing the application of NLP to mental health
Sharma’s dissertation pushes the boundaries of human-AI collaboration along with research in empathy detection and generation, advancing the application of NLP to mental health
July 28, 2025 at 2:13 PM
📚Ashish Sharma: Human-AI Collaboration to Support Mental Health and Well-Being
Sharma’s dissertation pushes the boundaries of human-AI collaboration along with research in empathy detection and generation, advancing the application of NLP to mental health
Sharma’s dissertation pushes the boundaries of human-AI collaboration along with research in empathy detection and generation, advancing the application of NLP to mental health
Reposted by Computational Linguistics Journal
📚 Manling Li: Event-Centric Multimodal Knowledge Acquisition
Li’s dissertation offers a comprehensive framework for multimodal event extraction and reasoning, advancing important tasks such as video question answering and future event prediction
Li’s dissertation offers a comprehensive framework for multimodal event extraction and reasoning, advancing important tasks such as video question answering and future event prediction
July 28, 2025 at 2:13 PM
📚 Manling Li: Event-Centric Multimodal Knowledge Acquisition
Li’s dissertation offers a comprehensive framework for multimodal event extraction and reasoning, advancing important tasks such as video question answering and future event prediction
Li’s dissertation offers a comprehensive framework for multimodal event extraction and reasoning, advancing important tasks such as video question answering and future event prediction
Reposted by Computational Linguistics Journal
This year ACL inaugurates the ✨🎓ACL Computational Linguistics Doctoral Dissertation Award! 🎓✨
Instrumental for launching this inaugural prize is the Computational Linguistics Journal @CompLingJournal, with support of the ACL Exec.
#CLJournal #ComputationalLinguistics
#ACL2025NLP @CompLingJournal
Instrumental for launching this inaugural prize is the Computational Linguistics Journal @CompLingJournal, with support of the ACL Exec.
#CLJournal #ComputationalLinguistics
#ACL2025NLP @CompLingJournal
July 28, 2025 at 2:13 PM
This year ACL inaugurates the ✨🎓ACL Computational Linguistics Doctoral Dissertation Award! 🎓✨
Instrumental for launching this inaugural prize is the Computational Linguistics Journal @CompLingJournal, with support of the ACL Exec.
#CLJournal #ComputationalLinguistics
#ACL2025NLP @CompLingJournal
Instrumental for launching this inaugural prize is the Computational Linguistics Journal @CompLingJournal, with support of the ACL Exec.
#CLJournal #ComputationalLinguistics
#ACL2025NLP @CompLingJournal
🏆 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? 🤔🔥
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? 🤔🔥
July 26, 2025 at 3:07 AM
🏆 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? 🤔🔥
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? 🤔🔥
Volume 51, Issue 2 📣 Access it at direct.mit.edu/coli/issue/5...
The articles included in this issue are listed in the comments below. 🧵
The articles included in this issue are listed in the comments below. 🧵
July 8, 2025 at 4:39 AM
Volume 51, Issue 2 📣 Access it at direct.mit.edu/coli/issue/5...
The articles included in this issue are listed in the comments below. 🧵
The articles included in this issue are listed in the comments below. 🧵
🚨 As LLMs generate more of the text we see daily, detecting AI-generated text is more critical than ever.
New survey from the University of Macau explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use.
Read: direct.mit.edu/coli/article...
New survey from the University of Macau explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use.
Read: direct.mit.edu/coli/article...
June 26, 2025 at 7:22 AM
🚨 As LLMs generate more of the text we see daily, detecting AI-generated text is more critical than ever.
New survey from the University of Macau explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use.
Read: direct.mit.edu/coli/article...
New survey from the University of Macau explores cutting-edge detection methods, key challenges, and future directions to ensure responsible AI use.
Read: direct.mit.edu/coli/article...
🔍 Neural semantic parsers are great – but often just parrot surface text.
Researchers from the University of Groningen propose a taxonomical parser that builds deeper, hierarchical meaning representations.
Read: direct.mit.edu/coli/article...
Researchers from the University of Groningen propose a taxonomical parser that builds deeper, hierarchical meaning representations.
Read: direct.mit.edu/coli/article...
June 22, 2025 at 11:58 AM
🔍 Neural semantic parsers are great – but often just parrot surface text.
Researchers from the University of Groningen propose a taxonomical parser that builds deeper, hierarchical meaning representations.
Read: direct.mit.edu/coli/article...
Researchers from the University of Groningen propose a taxonomical parser that builds deeper, hierarchical meaning representations.
Read: direct.mit.edu/coli/article...
🚀 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...
It tackles style, meaning, and privacy – paving the way for safe, shareable, high-quality synthetic language data.
Read: direct.mit.edu/coli/article...
June 14, 2025 at 3:47 AM
🚀 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...
It tackles style, meaning, and privacy – paving the way for safe, shareable, high-quality synthetic language data.
Read: direct.mit.edu/coli/article...
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...
Read: direct.mit.edu/coli/article...
June 6, 2025 at 9:50 AM
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...
Read: direct.mit.edu/coli/article...
Researchers from the University of Edinburgh, the University of Zurich, 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...
Read: direct.mit.edu/coli/article...
May 30, 2025 at 9:41 AM
Researchers from the University of Edinburgh, the University of Zurich, 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...
Read: direct.mit.edu/coli/article...
Researchers from Georgetown University, LMU Munich, Abo Akademi, and Indiana University present “eRST: A Signaled Graph Theory of Discourse Relations and Organization”.
Read: direct.mit.edu/coli/article...
Read: direct.mit.edu/coli/article...
May 25, 2025 at 4:03 AM
Researchers from Georgetown University, LMU Munich, Abo Akademi, and Indiana University present “eRST: A Signaled Graph Theory of Discourse Relations and Organization”.
Read: direct.mit.edu/coli/article...
Read: direct.mit.edu/coli/article...
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
Now in Computational Linguistics
Read: direct.mit.edu/coli/article...
📄 MUCking In, or Fifty Years in Information Extraction
Now in Computational Linguistics
Read: direct.mit.edu/coli/article...
May 18, 2025 at 12:18 PM
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
Now in Computational Linguistics
Read: direct.mit.edu/coli/article...
📄 MUCking In, or Fifty Years in Information Extraction
Now in Computational Linguistics
Read: direct.mit.edu/coli/article...
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...
Read: direct.mit.edu/coli/article...
May 7, 2025 at 6:22 AM
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...
Read: direct.mit.edu/coli/article...
Volume 51, Issue 1 is out, please access the issue at direct.mit.edu/coli/issue/5...
The articles included in this issue are listed in the comments below. 🧵
The articles included in this issue are listed in the comments below. 🧵
May 2, 2025 at 1:15 AM
Volume 51, Issue 1 is out, please access the issue at direct.mit.edu/coli/issue/5...
The articles included in this issue are listed in the comments below. 🧵
The articles included in this issue are listed in the comments below. 🧵