Gelbukh Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing

von

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

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Beschreibung

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. 


Autor*in

Alexander Gelbukh

Themen in »Computational Linguistics and Intelligent Text Processing«

artificial intelligence emotion recognition internet learning algorithms machine translations natural language processing systems neural networks semantics signal processing social networking speech recognition supervised learning text processing translation (languages) world wide web

Stimmen zu »Computational Linguistics and Intelligent Text Processing«

Details

ISBN: 9783319771168
Verlag: Springer International Publishing
Erscheinung: 09.10.2018

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