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Understanding meaning and knowledge representation: from theoretical and cognitive linguistics to natural language processing

Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as "deceptively intelligent"....

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Detalles Bibliográficos
Autores principales: Periñán, Carlos, Mestre, Eva Mestre
Lenguaje:eng
Publicado: Cambridge Scholars Publishing 2016
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2667670
Descripción
Sumario:Today, there is a need to develop natural language processing (NLP) systems from deeper linguistic approaches. Although there are many NLP applications which can work without taking into account any linguistic theory, this type of system can only be described as "deceptively intelligent". On the other hand, however, those computer programs requiring some language comprehension capability should be grounded in a robust linguistic model if they are to display the expected behaviour. The purpose of this book is to examine and discuss recent work in meaning and knowledge representation within theoretical linguistics and cognitive linguistics, particularly research which can be reused to model NLP applications.