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

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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Bibliografiske detaljer
Institution som forfatter:	SpringerLink (Online service)
Andre forfattere:	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:	Electronisk eBog
Sprog:	English
Udgivet:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Udgivelse:	1st ed. 2012.
Serier:	Studies in Computational Intelligence, 370
Fag:	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 adgang:	https://doi.org/10.1007/978-3-642-22613-7
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Modeling, Learning, and Processing of Text-Technological Data Structures

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