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A modular approach for multilingual timex detection and normalization using deep learning and grammar-based methods.

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Title: A modular approach for multilingual timex detection and normalization using deep learning and grammar-based methods.
Authors: Escribano, Nayla1, nayla.escribano@ehu.eus, Rigau, German1, german.rigau@ehu.eus, Agerri, Rodrigo1, rodrigo.agerri@ehu.eus
Source: Knowledge-Based Systems; Aug2023, Vol. 273, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164087788
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164087788
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.knosys.2023.110612
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: A modular approach for multilingual timex detection and normalization using deep learning and grammar-based methods.
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            NameFull: Escribano, Nayla
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            NameFull: Rigau, German
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              Text: Aug2023
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              Y: 2023
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              Value: 273
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