Robuta

https://www.manning.com/books/deep-learning-for-natural-language-processing
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!
natural language processingdeep learningstephanraaijmakers
https://ieeexplore.ieee.org/document/10360126/
Global rapidly evolving events, e.g., COVID-19, are usually followed by countermeasures and policies. As a reaction, the public tends to express their emotions
natural language processingmachine learningmleventbased
https://mastertcloc.unistra.fr/2017/10/30/natural-language-machine-learning/
Natural language is an extremely powerful technology, however, it is difficult to configure machine learning systems to deal with it.
natural language processingtoughtaskaimachine
https://arxiv.org/html/2504.03185v1
natural languagelearningconstraintssafereinforcement
https://aclanthology.org/N06-2025/
Alessandro Moschitti. Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers. 2006.
natural language learningsemantic role labelingsyntactickernels
https://aclanthology.org/volumes/W10-01/
active learningproceedingsnaaclhltworkshop
https://aclanthology.org/W13-3600/
Hwee Tou Ng, Joel Tetreault, Siew Mei Wu, Yuanbin Wu, Christian Hadiwinoto. Proceedings of the Seventeenth Conference on Computational Natural Language...
natural language learningproceedingsseventeenthconferencecomputational
https://www.utn.de/departments/department-computer-science-artificial-intelligence/nllg/
Die Natural Language Learning & Generation (NLLG) Forschungsgruppe deckt ein breites Spektrum an Themen der natürlichen Sprachverarbeitung (NLP) ab.
natural language learninggenerationutn
https://github.com/james-bowman/nlp
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang - james-bowman/nlp
machine learning algorithmsjames bowmangithubnlpselected
https://openreview.net/forum?id=STDLnZwnsbc&referrer=%5Bthe%20profile%20of%20Sreejan%20Kumar%5D(%2Fprofile%3Fid%3D~Sreejan_Kumar1)
We show the conditions in which one can guide meta-reinforment learning agents to produce human-like behavior using natural language descriptions of hidden...
natural languagemeta learningusingguideagents
https://arxiv.org/abs/2103.00020?utm_campaign=The%20Batch&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-9ArXRo8uGCVwJJHV_bnLhlnqMC4UgREF-7n0D5RN5g5rghAu11jGwRkMQ3B-rtjAZki5xD
Abstract page for arXiv paper 2103.00020: Learning Transferable Visual Models From Natural Language Supervision
natural languagelearningvisualmodelssupervision
https://dsindex.github.io/
Natural Language Processing,Machine Learning,Development,Algorithm
natural language processingmachine learningnlpdevelopmentalgorithm
https://aclanthology.org/volumes/K15-1/
natural language learningproceedingsconferencecomputational
https://arvoinen.ai/2023/01/
Large language models for large language problems.
natural language processingdeep learningjanuary
https://deepai.org/publication/semantic-similarity-measure-of-natural-language-text-through-machine-learning-and-a-keyword-aware-cross-encoder-ranking-summarizer-a-case-study-using-ucgis-gis-t-body-of
05/17/23 - Initiated by the University Consortium of Geographic Information Science (UCGIS), GIS T Body of Knowledge (BoK) is a community-d...
semantic similaritynatural languagemachine learningmeasuretext