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Towards High-Performance Word Sense Disambiguation- Combining Rich Linguistic Knowledge and Machine Learning Approaches Jinying Chen Author
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ISBN: 9783836427517

Supervised word sense disambiguation (WSD) for truly polysemous words (in contrast to homonyms) is difficult for machine learning, mainly due to two problems: the lack of sense-tagged… Más…

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Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - Chen, Jinying
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Chen, Jinying:

Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - Pasta blanda

2007, ISBN: 3836427516

[EAN: 9783836427517], Gebraucht, guter Zustand, [SC: 3.5], [PU: Vdm Verlag Dr. Müller], IT-AUSBILDUNG & -BERUFE / NATURWISSENSCHAFTEN TECHNIK GENRES, 184 Seiten Sehr gepflegtes Gebraucht-… Más…

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Chen, Jinying:
Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - Pasta blanda

2007

ISBN: 3836427516

[EAN: 9783836427517], Gebraucht, guter Zustand, [PU: Vdm Verlag Dr. Müller,], IT-AUSBILDUNG & -BERUFE / NATURWISSENSCHAFTEN TECHNIK GENRES, 184 Seiten Sehr gepflegtes Gebraucht-/Antiquari… Más…

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Chen, Jinying:
Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - Pasta blanda

2007, ISBN: 3836427516

[EAN: 9783836427517], Gebraucht, guter Zustand, [PU: Vdm Verlag Dr. Müller], IT-AUSBILDUNG & -BERUFE / NATURWISSENSCHAFTEN TECHNIK GENRES, 184 Seiten Sehr gepflegtes Gebraucht-/Antiquaria… Más…

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Chen, Jinying:
Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - Pasta blanda

2007, ISBN: 9783836427517

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Towards High-Performance Word Sense Disambiguation- Combining Rich Linguistic Knowledge and Machine Learning Approaches Jinying Chen Author
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ISBN:

3836427516


Supervised word sense disambiguation (WSD) for truly polysemous words (in contrast to homonyms) is difficult for machine learning, mainly due to two problems: the lack of sense-tagged training data and the sparsity of the matrix of observed instances vs. features. At the same time, high accuracy is necessary for WSD to be beneficial for high-level applications, such as information retrieval, question answering, and machine translation. This work addresses the above two problems through combining rich linguistic knowledge and machine learning methods. First, it proposes and demonstrates empirically evidence that careful design and generation of linguistically motivated features help to alleviate the data sparseness inherent in WSD. A state-of-theart supervised system for verb sense disambiguation was introduced. Exploration in three specific aspects of feature generation was discussed and shown to elevate the system accuracy to top-level. It also shows the effectiveness of active learning in the creation of more labeled training data for supervised WSD - reducing the required training data by 1/2 to 3/4 when learning coarse-grained English verb senses. The book is addressed to researchers in Computer and Information Science and Computational Linguistics.

Detalles del libro - Towards High-Performance Word Sense Disambiguation- Combining Rich Linguistic Knowledge and Machine Learning Approaches Jinying Chen Author


EAN (ISBN-13): 9783836427517
ISBN (ISBN-10): 3836427516
Tapa blanda
Año de publicación: 2007
Editorial: KS Omniscriptum Publishing Core >1
184 Páginas
Peso: 0,359 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-11-14T09:22:34-06:00 (Mexico City)
Página de detalles modificada por última vez el 2023-10-14T04:07:19-06:00 (Mexico City)
ISBN/EAN: 3836427516

ISBN - escritura alterna:
3-8364-2751-6, 978-3-8364-2751-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: chen
Título del libro: machine learning, word sense disambiguation, high performance

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