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Time Expression and Named Entity Recognition (Hardcover, 1st ed. 2021) Loot Price: R4,208
Discovery Miles 42 080
Time Expression and Named Entity Recognition (Hardcover, 1st ed. 2021): Xiaoshi Zhong, Erik Cambria

Time Expression and Named Entity Recognition (Hardcover, 1st ed. 2021)

Xiaoshi Zhong, Erik Cambria

Series: Socio-Affective Computing, 10

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Loot Price R4,208 Discovery Miles 42 080 | Repayment Terms: R394 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Socio-Affective Computing, 10
Release date: August 2021
First published: 2021
Authors: Xiaoshi Zhong • Erik Cambria
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 96
Edition: 1st ed. 2021
ISBN-13: 978-3-03-078960-2
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-078960-8
Barcode: 9783030789602

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