Hristea (60 resultados)

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Broschiert. Condición: Gut. 383 S. ISBN 377437 Der Spezialist für Bücher aus Siebenbürgen, dem Banat und Rumänien. Wir freuen uns auf Ihren Besuch in einer unserer Buchhandlungen in Hermannstadt, Mediasch, Birthälm und Temeswar. Sprache: Deutsch.

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Paperback. Condición: Brand New. 2013 edition. 83 pages. 9.25x6.25x0.25 inches. In Stock.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances (from 2008 to 2012) concerning use of the Naïve Bayes model in unsupervised word sense disambiguation (WSD).While WSD, in general, has a number of important applications in various fields of artificial intelligence (information retrieval, text processing, machine translation, message understanding, man-machine communication etc.), unsupervised WSD is considered important because it is language-independent and does not require previously annotated corpora. The Naïve Bayes model has been widely used in supervised WSD, but its use in unsupervised WSD has led to more modest disambiguation results and has been less frequent. It seems that the potential of this statistical model with respect to unsupervised WSD continues to remain insufficiently explored. The present book contends that the Naïve Bayes model needs to be fed knowledge in order to perform well as a clustering technique for unsupervised WSD and examines three entirely different sources of such knowledge for feature selection: WordNet, dependency relations and web N-grams. WSD with an underlying Naïve Bayes model is ultimately positioned on the border between unsupervised and knowledge-based techniques. The benefits of feeding knowledge (of various natures) to a knowledge-lean algorithm for unsupervised WSD that uses the Naïve Bayes model as clustering technique are clearly highlighted. The discussion shows that the Naïve Bayes model still holds promise for the open problem of unsupervised WSD.…

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Taschenbuch. Condición: Neu. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation | Aspects Concerning Feature Selection | Florentina T. Hristea | Taschenbuch | SpringerBriefs in Statistics | xiii | Englisch | 2012 | Springer | EAN 9783642336928 | 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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Gebundene Ausgabe. Condición: Neu. Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced NLP and the availability of big data to create large-scale systems and applications. Researching software and systems that bridge the linguistic gap between people and machines requires knowledge of natural language processing (NLP) and computational linguistics (CL), including their application-oriented aspects. This Reprint contains all accepted articles published in the Special Issue "Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)". The aim of this Special Issue was to focus on technologies for processing human language in the form of text, using natural language processing (NLP) tools and techniques to address the two main challenges: natural language understanding and natural language generation. This Special Issue presents innovative research in the domain of NLP and HLT. It is our hope that the research results will contribute to fostering future research in NLP and inspiring future studies in related fields. Sprache: Englisch Gewicht in Gramm: 798.…

Gebundene Ausgabe. Condición: Neu. Natural language processing (NLP) is one of the most important technologies in use today, especially due to the large and growing amount of online text, which needs to be understood in order to fully ascertain its enormous value. During the last decade, the application of machine learning techniques has led to achievement of higher accuracy in many types of NLP applications. Although numerous machine learning models have been developed for NLP applications, deep learning approaches have recently achieved remarkable results across many NLP tasks. The present book contains all the articles accepted and published in the Special Issue "Natural Language Processing (NLP) and Machine Learning (ML)-Theory and Applications" of the MDPI journal Mathematics. A large range of research topics of NLP have been touched upon within this Special Issue, showcasing the diversity and dynamics of this perpetually evolving field, which is providing one of the most important technologies in use today. This Special Issue has provided a platform for researchers to present their novel work in the domain of NLP and its applications, with a focus on applications of machine learning and deep learning in this field. We hope that this will help to foster future research in NLP and all its related Sprache: Englisch Gewicht in Gramm: 903.…

Paperback. Condición: Brand New. 272 pages. 8.66x5.91x0.62 inches. In Stock.