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...
| Publicado en: | Language Resources & Evaluation Vol. 47; no. 2; pp. 269 - 299 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=87846088&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 87846088 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2013 vid: 47 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 87846088 10.1007/s10579-012-9179-y ppf: 269 ppct: 30 formats: fmt: @attributes: type: P size: 991KB tig: atl: Multilingual and cross-domain temporal tagging. aug: au: Strötgen, Jannik Gertz, Michael affil: Institute of Computer Science, Heidelberg University, Heidelberg Germany su: Multilingualism Data mining Language & languages Corpora Surveys sug: 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 refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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