Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 150,30
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Springer International Publishing, 2022
ISBN 10 : 3030789632 ISBN 13 : 9783030789633
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 149,79
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
Langue: anglais
Edité par Springer International Publishing, 2021
ISBN 10 : 3030789608 ISBN 13 : 9783030789602
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 149,79
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 115 pages. 9.25x6.10x0.31 inches. In Stock.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer International Publishing Aug 2022, 2022
ISBN 10 : 3030789632 ISBN 13 : 9783030789633
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 149,79
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use. 116 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing Aug 2021, 2021
ISBN 10 : 3030789608 ISBN 13 : 9783030789602
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 149,79
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use. 116 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, 2022
ISBN 10 : 3030789632 ISBN 13 : 9783030789633
Vendeur : moluna, Greven, Allemagne
EUR 127,40
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a synthetic analysis about the characteristics of timexes and entitiesReports the latest findings on recognizing timexes and entities from unstructured textOpens a door to examine whether multiple joint tasks enhance each other und.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 185,76
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Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 189,42
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer, Springer Aug 2022, 2022
ISBN 10 : 3030789632 ISBN 13 : 9783030789633
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 149,79
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.
Langue: anglais
Edité par Springer, Springer Aug 2021, 2021
ISBN 10 : 3030789608 ISBN 13 : 9783030789602
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 149,79
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.