Imagen de Google Jackets

Computational Linguistics [electronic resource] : Applications / edited by Adam Przepirkowski, Maciej Piasecki, Krzysztof Jassem, Piotr Fuglewicz.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 458 | Studies in Computational Intelligence ; 458Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Descripción: VIII, 296 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642343995
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 006.3 23
Clasificación LoC:
  • Q342
Recursos en línea: Springer eBooksResumen: The ever-growing popularity of Google over the recent decade has required a specific method of man-machine communication: human query should be short, whereas the machine answer may take a form of a wide range of documents. This type of communication has triggered a rapid development in the domain of Information Extraction, aimed at providing the asker with a more precise information. The recent success of intelligent personal assistants supporting users in searching or even extracting information and answers from large collections of electronic documents signals the onset of a new era in man-machine communication we shall soon explain to our small devices what we need to know and expect valuable answers quickly and automatically delivered. The progress of man-machine communication is accompanied by growth in the significance of applied Computational Linguistics we need machines to understand much more from the language we speak naturally than it is the case of up-to-date search systems. Moreover, we need machine support in crossing language barriers that is necessary more and more often when facing the global character of the Web. This books reports on the latest developments in the field. It contains 15 chapters written by researchers who aim at making linguistic theories work for the better understanding between the man and the machine.
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The ever-growing popularity of Google over the recent decade has required a specific method of man-machine communication: human query should be short, whereas the machine answer may take a form of a wide range of documents. This type of communication has triggered a rapid development in the domain of Information Extraction, aimed at providing the asker with a more precise information. The recent success of intelligent personal assistants supporting users in searching or even extracting information and answers from large collections of electronic documents signals the onset of a new era in man-machine communication we shall soon explain to our small devices what we need to know and expect valuable answers quickly and automatically delivered. The progress of man-machine communication is accompanied by growth in the significance of applied Computational Linguistics we need machines to understand much more from the language we speak naturally than it is the case of up-to-date search systems. Moreover, we need machine support in crossing language barriers that is necessary more and more often when facing the global character of the Web. This books reports on the latest developments in the field. It contains 15 chapters written by researchers who aim at making linguistic theories work for the better understanding between the man and the machine.

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