Nathanael Chambers
About
Nathanael Chambers has authored 36 papers that have received a total of 1.7k indexed citations.
This includes 36 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. The topics of these papers are Topic Modeling (33 papers), Natural Language Processing Techniques (30 papers) and Semantic Web and Ontologies (10 papers). Nathanael Chambers is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (30 papers) and Semantic Web and Ontologies (10 papers) and collaborates with scholars based in United States, United Kingdom and Spain. Nathanael Chambers's co-authors include Dan Jurafsky, James F. Allen, Niranjan Balasubramanian, Hee Young Kwon and Hyuckchul Jung and has published in prestigious journals such as Journal of Biomedical Informatics, Computational Linguistics and Language Resources and Evaluation
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