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Time Expression and Named Entity RecognitionLiterature Review

Time Expression and Named Entity Recognition: Literature Review [Time expressions and named entities play important roles in data mining, natural language processing, and cognitive computation. Researchers from these areas have devoted considerable effort in the last two decades to define the problem of time expression analysis, design the standards for time expression annotation, build annotated corpora for time expressions, and develop methods to identify time expressions from free text. In this literature review, we go through the previous works, aiming to draw an overview of the development of time expression and named entity analysis in different aspects, such as language factor, domain and textual type, types of time expressions, and the evaluation and resources for the time expression analysis as well as methods that researchers develop for time expression recognition and normalization, named entity recognition and classification. In addition, we also review the development of jointly modeling multiple syntactic and semantic tasks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Time Expression and Named Entity RecognitionLiterature Review

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-78960-2
Pages
15 –34
DOI
10.1007/978-3-030-78961-9_2
Publisher site
See Chapter on Publisher Site

Abstract

[Time expressions and named entities play important roles in data mining, natural language processing, and cognitive computation. Researchers from these areas have devoted considerable effort in the last two decades to define the problem of time expression analysis, design the standards for time expression annotation, build annotated corpora for time expressions, and develop methods to identify time expressions from free text. In this literature review, we go through the previous works, aiming to draw an overview of the development of time expression and named entity analysis in different aspects, such as language factor, domain and textual type, types of time expressions, and the evaluation and resources for the time expression analysis as well as methods that researchers develop for time expression recognition and normalization, named entity recognition and classification. In addition, we also review the development of jointly modeling multiple syntactic and semantic tasks.]

Published: Jun 7, 2021

Keywords: Time expressions; Named entities; Rule-based methods; Learning-based methods; Syntactic tasks; Semantic tasks

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