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Pruning False Unknown Words to Improve Chinese Word Segmentation - ACL

https://aclanthology.org/Y04-1014/
to create a GitHub issue with structured data describing the correction

Using Derivation Trees for Informative Treebank Inter-Annotator

https://aclanthology.org/N13-1061/
Maamouri, Beatrice Santorini, Anthony Kroch Correct Metadata for 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

How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in

https://aclanthology.org/2020.tacl-1.20/
⚠️ Mobile Users: Submitting this form to create a new issue will only work with github

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/
260Volume:Proceedings of the 2024 Conference on Empirical Methods in Natural Language ProcessingMonth:NovemberYear:2024Address:Miami, Florida, USAEditors:Yaser Al-Onaizan, Mohit Bansal, Yun-Nung ChenVenue:EMNLPSIG:Publisher:Association for Computational LinguisticsNote:Pages:4523–4536Language:URL:https://aclanthology

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