Natural Language Processing. Questo articolo non è disponibile.
Lingua: inglese
Editore: Cambridge University Press, 2021
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Codice articolo FM-9781108420211
- Titolo
- Natural Language Processing
- Autore
- Yue Zhang
- Editore
- Cambridge University Press
- Anno di pubblicazione
- 2021
- Condizione
- New
- Rilegatura
- HRD
- Lingua
- inglese
- ISBN 10
- 1108420214
- ISBN 13
- 9781108420211
- Peso dell'articolo
- 1265 grammi
This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
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Informazioni sull’autore
Yue Zhang is an associate professor at Westlake University. Before joining Westlake, he worked as a research associate at the University of Cambridge and then a faculty member at Singapore University of Technology and Design. His research interests lie in fundamental algorithms for NLP, syntax, semantics, information extraction, text generation, and machine translation. He serves as an action editor for TACL, and as area chairs of ACL, EMNLP, COLING, and NAACL. He gave several tutorials at ACL, EMNLP and NAACL, and won a best paper award at COLING in 2018.
Zhiyang Teng is currently a postdoctoral research fellow in the natural language processing group of Westlake University, China. He obtained his Ph.D. from Singapore University of Technology and Design (SUTD) in 2018, and his Master's from the University of Chinese Academy of Science in 2014. He won the best paper award at CCL/NLP-NABD 2014, and published conference papers for ACL/TACL, EMNLP, COLING, NAACL, and TKDE. His research interests include syntactic parsing, sentiment analysis, deep learning, and variational inference.
Zhiyang Teng is currently a postdoctoral research fellow in the natural language processing group of Westlake University, China. He obtained his Ph.D. from Singapore University of Technology and Design (SUTD) in 2018, and his Master's from the University of Chinese Academy of Science in 2014. He won the best paper award at CCL/NLP-NABD 2014, and published conference papers for ACL/TACL, EMNLP, COLING, NAACL, and TKDE. His research interests include syntactic parsing, sentiment analysis, deep learning, and variational inference.
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