Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings /

This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. The 29 full papers...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Sun, Maosong (Editor ), Huang, Xuanjing (Editor ), Lin, Hongfei (Editor ), Liu, Zhiyuan (Editor ), Liu, Yang (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Lecture Notes in Artificial Intelligence, 10035
Temas:
Natural language processing (Computer science).
Artificial intelligence.
Computer networks .
Natural Language Processing (NLP).
Artificial Intelligence.
Computer Communication Networks.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.
Descripción Física:XVIII, 460 p. 139 illus. online resource.
ISBN:9783319476742
ISSN:2945-9141 ;

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