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Time Expression and Named Entity Recognition

Gebonden Engels 2021 9783030789602
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783030789602
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

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Inhoudsopgave

<div>Chapter 1. Introduction.- Chapter 2. Literature Review.- Chapter 3. Data Analysis.- Chapter 4. SynTime: Token Types and Heuristic Rules.- 5. TOMN: Constituent-based Tagging Scheme.- Chapter 6. UGTO: Uncommon Words and Proper&nbsp;Nouns.- Chapter 7. Conclusion and Future Work.</div>

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        Time Expression and Named Entity Recognition