9789811346439 - cognitively inspired natural language processing: an investigation based on eye-tracking (cognitive intelligence and robotics) de mishra, abhijit; bhattacharyya, pushpak (11 resultados)

Idioma: Inglés
Editorial: Springer Singapore, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Taschenbuch. Condición: Neu. Cognitively Inspired Natural Language Processing | An Investigation Based on Eye-tracking | Abhijit Mishra (u. a.) | Taschenbuch | Cognitive Intelligence and Robotics | xvii | Englisch | 2018 | Springer | EAN 9789811346439 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Editorial: Springer, Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive information in the f…orm of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors' work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how thisprocessing is realized in human beings' hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that 'something different should be done.'.

Idioma: Inglés
Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Paperback. Condición: Brand New. reprint edition. 192 pages. 9.25x6.10x0.46 inches. In Stock.

Idioma: Inglés
Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.

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Editorial: Springer Nature Singapore Dez 2018, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive info…rmation in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors' work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP. Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how this processing is realized in human beings' hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that 'something different should be done.' 192 pp. Englisch.

Idioma: Inglés
Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Idioma: Inglés
Editorial: Springer, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Idioma: Inglés
Editorial: Springer, Springer Dez 2018, 2018
Serie: Cognitive Intelligence and Robotics, Libro 1 de 9. Libro 1 de 9 - Cognitive Intelligence and Robotics
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book shows ways of augmenting the capabilities of Natural Language Processing (NLP) systems by means of cognitive-mode language processing. The authors employ eye-tracking technology to record and analyze shallow cognitive informat…ion in the form of gaze patterns of readers/annotators who perform language processing tasks. The insights gained from such measures are subsequently translated into systems that help us (1) assess the actual cognitive load in text annotation, with resulting increase in human text-annotation efficiency, and (2) extract cognitive features that, when added to traditional features, can improve the accuracy of text classifiers. In sum, the authors' work successfully demonstrates that cognitive information gleaned from human eye-movement data can benefit modern NLP.Currently available Natural Language Processing (NLP) systems are weak AI systems: they seek to capture the functionality of human language processing, without worrying about how thisprocessing is realized in human beings' hardware. In other words, these systems are oblivious to the actual cognitive processes involved in human language processing. This ignorance, however, is NOT bliss! The accuracy figures of all non-toy NLP systems saturate beyond a certain point, making it abundantly clear that 'something different should be done.'Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch.