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Time Expression and Named Entity RecognitionConclusion and Future Work

Time Expression and Named Entity Recognition: Conclusion and Future Work [In this book, we present our works on the analysis and recognition of time expressions and named entities. We summarize five intrinsic characteristics about time expressions and three ones about named entities. According to these characteristics, we propose three methods to recognize time expressions and named entities from unstructured text, namely SynTime, TOMN, and UGTO. When analyzing named entities, we find that the joint task of named entity recognition and classification cannot improve the performance of the subtask of named entity recognition.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Time Expression and Named Entity RecognitionConclusion and Future Work

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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
95 –96
DOI
10.1007/978-3-030-78961-9_7
Publisher site
See Chapter on Publisher Site

Abstract

[In this book, we present our works on the analysis and recognition of time expressions and named entities. We summarize five intrinsic characteristics about time expressions and three ones about named entities. According to these characteristics, we propose three methods to recognize time expressions and named entities from unstructured text, namely SynTime, TOMN, and UGTO. When analyzing named entities, we find that the joint task of named entity recognition and classification cannot improve the performance of the subtask of named entity recognition.]

Published: Jun 7, 2021

Keywords: Time expressions; Named entities; Intrinsic characteristics

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