Publicado por LAP LAMBERT Academic Publishing
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
EUR 25,16
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Añadir al carritoCondición: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 73,15
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Idioma: Inglés
Librería: Buchpark, Trebbin, Alemania
EUR 28,28
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Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 84,42
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 86,67
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200507481 ISBN 13: 9786200507488
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 55,56
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understanding short texts is crucial to many applications, but challenges abound. Here we focus on short texts which refer to texts with limited context. These short texts are produced, including Search queries, Tags, Keywords, Conversation or Social posts and containing limited context. Semantic knowledge is required in order to better understand short texts. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain sufficient statistical signals to support many state-of-the-art approaches for text mining such as topic modeling. Third, short texts are more ambiguous and noisier and are generated in an enormous volume, which further increases the difficulty to handle them. the book deals the knowledge-intensive approaches for discovering semantics of short texts.