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Modeling, Learning, and Processing of Text-Technological Data Structures

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book “Modelling, Learning and Processing of Text-Technological Data Structures” deals with this challenging information unit. It...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mehler, Alexander. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kühnberger, Kai-Uwe. (Editor, http://id.loc.gov/vocabulary/relators/edt), Lobin, Henning. (Editor, http://id.loc.gov/vocabulary/relators/edt), Lüngen, Harald. (Editor, http://id.loc.gov/vocabulary/relators/edt), Storrer, Angelika. (Editor, http://id.loc.gov/vocabulary/relators/edt), Witt, Andreas. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Studies in Computational Intelligence, 370
Subjects:
Applied mathematics.
Engineering mathematics.
Natural language processing (Computer science).
Artificial intelligence.
Computational linguistics.
Mathematical and Computational Engineering.
Natural Language Processing (NLP).
Artificial Intelligence.
Computational Linguistics.
Online Access:https://doi.org/10.1007/978-3-642-22613-7
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https://doi.org/10.1007/978-3-642-22613-7

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