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Pruning False Unknown Words to Improve Chinese Word Segmentation - ACL

https://aclanthology.org/Y04-1014/
Create GitHub issue for staff review Anthology ID:Y04-1014Volume:Proceedings of the 18th Pacific Asia Conference on Language, Information and ComputationMonth:DecemberYear:2004Address:Waseda University, Tokyo, JapanEditors:Hiroshi Masuichi, Tomoko Ohkuma, Kiyoshi Ishikawa, Yasunari Harada, Kei YoshimotoVenue:PACLICSIG

Using Derivation Trees for Informative Treebank Inter-Annotator

https://aclanthology.org/N13-1061/
Create GitHub issue for staff review Anthology ID:N13-1061Volume:Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesMonth:JuneYear:2013Address:Atlanta, GeorgiaEditors:Lucy Vanderwende, Hal Daumé III, Katrin KirchhoffVenue:

Correct Metadata for

https://aclanthology.org/2026.findings-acl.1955/
Anthology ID:Month:Editors:Venue:Cite (ACL):Nathan Godey, Wissam Antoun, Rian Touchent, Rachel Bawden, Éric Villemonte de la Clergerie, Benoît Sagot, and Djamé Seddah

How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in

https://aclanthology.org/2020.tacl-1.20/
The two sets of experiments provide insights into the cognitive aspects of sentence processing and central issues in the computational modeling of text and discourse

ACL Anthology

https://aclanthology.org/2025.findings-acl.645/
⚠️ Mobile Users: Submitting this form to create a new issue will only work with github

Outcome-Constrained Large Language Models for Countering Hate Speech

https://aclanthology.org/2024.emnlp-main.260/
Use this form to create a GitHub issue with structured data describing the correction

Speculative Sampling in Variational Autoencoders for Dialogue Response

https://aclanthology.org/2021.findings-emnlp.407/
Kitsuregawa Correct Metadata for Use this form to create a GitHub issue with structured data describing the correction

Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense

https://aclanthology.org/2020.findings-emnlp.405/
Ekaterina Shutova Correct Metadata for Use this form to create a GitHub issue with structured data describing the correction

Correct Metadata for

https://aclanthology.org/2026.acl-long.1431/
Correct Metadata for Use this form to create a GitHub issue with structured data describing the correction

Stereotyped by Silence: How LLMs Erase Northeast Indian Languages

https://aclanthology.org/2026.stereacult-1.6/
Stereotyped by Silence: How LLMs Erase Northeast Indian Languages Through Omission and Orthographic Corruption - ACL Anthology Correct Metadata for Use this form to create a GitHub issue with structured data describing the correction

Sheriff Issaka, Keyi Wang, Yinka Ajibola, Oluwatumininu Samuel-Ipaye

https://aclanthology.org/2026.acl-long.1965/
Our contributions include: (1) a quality-controlled data collection pipeline, yielding the largest validated African multi-modal speech and text dataset spanning 40 languages with 19 billion text tokens and 12,628 hours of aligned speech data; (2) extensive experimental validation demonstrating that even modest-scale