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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… Altro …

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Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - edizione con copertina flessibile

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-… Altro …

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Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - edizione con copertina flessibile

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… Altro …

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

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… Altro …

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Towards High-Performance Word Sense Disambiguation: Combining Rich Linguistic Knowledge and Machine Learning Approaches - edizione con copertina flessibile

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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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.

Informazioni dettagliate 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
Copertina flessibile
Anno di pubblicazione: 2007
Editore: KS Omniscriptum Publishing Core >1
184 Pagine
Peso: 0,359 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-11-14T16:22:34+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-10-14T12:07:19+02:00 (Zurich)
ISBN/EAN: 3836427516

ISBN - Stili di scrittura alternativi:
3-8364-2751-6, 978-3-8364-2751-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : chen
Titolo del libro: machine learning, word sense disambiguation, high performance

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