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Time Expression and Named Entity RecognitionSynTime: Token Types and Heuristic Rules

Time Expression and Named Entity Recognition: SynTime: Token Types and Heuristic Rules [According to the five common characteristics of time expressions, we propose a type-based approach named SynTime for time expression recognition. Specifically, we define three main syntactic token types, namely time token, modifier, and numeral, to group time-related token regular expressions. On the types we design general heuristic rules to recognize time expressions. In recognition, SynTime first identifies time tokens from raw text, then searches their surroundings for modifiers and numerals to form time segments, and finally merges the time segments to time expressions. As a light-weight rule-based tagger, SynTime runs in real time, and can be easily expanded by simply adding keywords for the text from different domains and different text types. Evaluation on benchmark datasets and tweets data shows that SynTime outperforms state-of-the-art methods.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Time Expression and Named Entity RecognitionSynTime: Token Types and Heuristic Rules

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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
47 –58
DOI
10.1007/978-3-030-78961-9_4
Publisher site
See Chapter on Publisher Site

Abstract

[According to the five common characteristics of time expressions, we propose a type-based approach named SynTime for time expression recognition. Specifically, we define three main syntactic token types, namely time token, modifier, and numeral, to group time-related token regular expressions. On the types we design general heuristic rules to recognize time expressions. In recognition, SynTime first identifies time tokens from raw text, then searches their surroundings for modifiers and numerals to form time segments, and finally merges the time segments to time expressions. As a light-weight rule-based tagger, SynTime runs in real time, and can be easily expanded by simply adding keywords for the text from different domains and different text types. Evaluation on benchmark datasets and tweets data shows that SynTime outperforms state-of-the-art methods.]

Published: Jun 7, 2021

Keywords: Time token; Token types; Heuristic rules; Type-based tagger

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