Computational Linguistics and Intelligent Text Processing

18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Computational Linguistics and Intelligent Text Processing by , Springer International Publishing
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Author: ISBN: 9783319771168
Publisher: Springer International Publishing Publication: October 9, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319771168
Publisher: Springer International Publishing
Publication: October 9, 2018
Imprint: Springer
Language: English

The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017.

The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.

The papers are organized in the following topical sections:

Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities.

Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017.

The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers.

The papers are organized in the following topical sections:

Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities.

Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. 

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