Multilingual and cross-domain temporal tagging.

Extraction and normalization of temporal expressions from documents are important steps towards deep text understanding and a prerequisite for many NLP tasks such as information extraction, question answering, and document summarization. There are different ways to express (the same) temporal inform...

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Publicado en:Language Resources & Evaluation Vol. 47; no. 2; pp. 269 - 299
Autores principales: Strötgen, Jannik, Gertz, Michael
Formato: Artículo
Publicado: Springer Nature Jun2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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          Strötgen, Jannik
          Gertz, Michael
        affil: Institute of Computer Science, Heidelberg University, Heidelberg Germany
      su:
        Multilingualism
        Data mining
        Language & languages
        Corpora
        Surveys
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        subj:
          Multilingualism
          Data mining
          Language & languages
          Corpora
          Surveys
      keyword:
        Named entity normalization
        Named entity recognition
        Temporal information
        Temporal tagger
        TIMEX2
        TIMEX3
      ab: Extraction and normalization of temporal expressions from documents are important steps towards deep text understanding and a prerequisite for many NLP tasks such as information extraction, question answering, and document summarization. There are different ways to express (the same) temporal information in documents. However, after identifying temporal expressions, they can be normalized according to some standard format. This allows the usage of temporal information in a term- and language-independent way. In this paper, we describe the challenges of temporal tagging in different domains, give an overview of existing annotated corpora, and survey existing approaches for temporal tagging. Finally, we present our publicly available temporal tagger HeidelTime, which is easily extensible to further languages due to its strict separation of source code and language resources like patterns and rules. We present a broad evaluation on multiple languages and domains on existing corpora as well as on a newly created corpus for a language/domain combination for which no annotated corpus has been available so far.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved.
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