Natural Language Processing and Chinese Computing: Third CCF Conference, NLPCC 2014, Shenzhen, China, December 5-9, 2014. Proceedings
Author:   Chengqing Zong ,  Jian-Yun Nie ,  Dongyan Zhao ,  Yansong Feng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2014 ed.
Volume:   496
ISBN:  

9783662459232


Pages:   474
Publication Date:   09 December 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Natural Language Processing and Chinese Computing: Third CCF Conference, NLPCC 2014, Shenzhen, China, December 5-9, 2014. Proceedings


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Overview

This book constitutes the refereed proceedings of the Third CCF Conference, NLPCC 2014, held in Shenzhen, China, in December 2014. The 35 revised full papers presented together with 8 short papers were carefully reviewed and selected from 110 English submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; machine translation and multi-lingual information access; machine learning for NLP; NLP for social media; NLP for search technology and ads; question answering and user interaction; web mining and information extraction.

Full Product Details

Author:   Chengqing Zong ,  Jian-Yun Nie ,  Dongyan Zhao ,  Yansong Feng
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2014 ed.
Volume:   496
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   7.372kg
ISBN:  

9783662459232


ISBN 10:   366245923
Pages:   474
Publication Date:   09 December 2014
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
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

Fundamentals on language computing.- Applications on language computing.- Machine translation and multi-lingual information access.- Machine learning for NLP.- NLP for social media.- NLP for search technology and ads.- Question answering and user interaction.- Web mining and information extraction.

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