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Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X) - ACL...
natural language learning
https://aclanthology.org/volumes/W01-07/
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL) - ACL...
natural language learningof the
https://huggingface.co/nllg
nllg (Natural Language Learning & Generation Lab)
natural language learninggenerationlab
https://aclanthology.org/W03-0409/
Exceptionality and Natural Language Learning - ACL Anthology
Mihai Rotaru, Diane J. Litman. Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003. 2003.
natural language learningexceptionalityaclanthology
https://aclanthology.org/events/conll-2024/
Conference on Computational Natural Language Learning (2024) - ACL Anthology
natural language learningconferencecomputational2024acl
https://aclanthology.org/events/conll-2012/
Conference on Computational Natural Language Learning (2012) - ACL Anthology
natural language learningconferencecomputational2012acl
https://openreview.net/forum?id=gwRwHUZUgz
Learning Symbolic Rules for Reasoning in Quasi-Natural Language | OpenReview
Symbolic reasoning, rule-based symbol manipulation, is a hallmark of human intelligence. However, rule-based systems have had limited success competing with...
natural languagelearningsymbolicrulesreasoning
https://www.coursera.org/resources/natural-language-processing-learning-roadmap?authMode=signup
Natural Language Processing (NLP) Learning Roadmap: Beginner to Expert Guide | Coursera
Learn NLP step by step, from Python basics to advanced production deployment, with recommended tools, real-world projects, and course suggestions.
natural language processingbeginner to expertlearning roadmapnlp
https://www.thomsonreuters.com/en/artificial-intelligence/natural-language-processing
Natural language processing (NLP) and machine learning (ML) | Thomson Reuters
Natural language processing focuses on designing algorithms to parse, analyze, mine, and ultimately understand and generate human language. We heavily build...
natural language processingmachine learning mlnlpthomsonreuters
https://aclanthology.org/2022.findings-emnlp.255/
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup...
Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu. Findings of the Association for Computational Linguistics: EMNLP 2022. 2022.