Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Maosong Sun

ISBN 10: 3642414907 / ISBN 13: 9783642414909

Published by Springer Berlin Heidelberg Okt 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning. 368 pp. Englisch.

Seller Inventory # 9783642414909

Bibliographic Details

• Title: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
• Publisher: Springer Berlin Heidelberg Okt 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 3642414907
• ISBN 13: 9783642414909
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning.