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Time Expression Named Entity by Zhong Xiaoshi (23 results)
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Time Expression and Named Entity Recognition (Hardcover)
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030789608 ISBN 13: 9783030789602
Language: English
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Time Expression and Named Entity Recognition (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030789632 ISBN 13: 9783030789633
Language: English
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Time Expression and Named Entity Recognition
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Time Expression and Named Entity Recognition (Socio-Affective Computing, 10)
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Time Expression and Named Entity Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 178.37
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Time Expression and Named Entity Recognition
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Add to basketHardcover. Condition: Brand New. 115 pages. 9.25x6.10x0.31 inches. In Stock.
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Time Expression and Named Entity Recognition (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030789632 ISBN 13: 9783030789633
Language: English
US$ 298.00
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Time Expression and Named Entity Recognition (Hardcover)
Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030789608 ISBN 13: 9783030789602
Language: English
US$ 302.03
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Time Expression and Named Entity Recognition
Published by Springer International Publishing, 2022
ISBN 10: 3030789632 ISBN 13: 9783030789633
Language: English
US$ 153.52
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Add to basketKartoniert / Broschiert. Condition: 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.
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US$ 277.12
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