Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I
Author:   Xiaodan Zhu ,  Min Zhang ,  Yu Hong ,  Ruifang He
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12430
ISBN:  

9783030604493


Pages:   857
Publication Date:   06 October 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I


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Overview

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020.The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

Full Product Details

Author:   Xiaodan Zhu ,  Min Zhang ,  Yu Hong ,  Ruifang He
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   12430
Weight:   1.335kg
ISBN:  

9783030604493


ISBN 10:   3030604497
Pages:   857
Publication Date:   06 October 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Oral-Conversational Bot/QA.- Fundamentals of NLP.- Knowledge Base, Graphs and Semantic Web.- Machine Learning for NLP.- Machine Translation and Multilinguality.- NLP Applications.- Social Media and Network.- Text Mining.

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