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Conference papers

KRAUTS: A German Temporally Annotated News Corpus

Abstract : In recent years, temporal tagging, i.e., the extraction and normalization of temporal expressions, has become a vibrant research area. Several tools have been made available, and new strategies have been developed. Due to domain-specific challenges, evaluations of new methods should be performed on diverse text types. Despite significant efforts towards multilinguality in the context of temporal tagging, for all languages except English, annotated corpora exist only for a single domain. In the case of German, for example, only a narrativestyle corpus has been manually annotated so far, thus no evaluations of German temporal tagging performance on news articles can be made. In this paper, we present KRAUTS, a new German temporally annotated corpus containing two subsets of news documents: articles from the daily newspaper DOLOMITEN and from the weekly newspaper DIE ZEIT. Overall, the corpus contains 192 documents with 1,140 annotated temporal expressions, and has been made publicly available to further boost research in temporal tagging
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Contributor : Anne-Lyse Minard-Forst Connect in order to contact the contributor
Submitted on : Thursday, July 19, 2018 - 5:31:16 PM
Last modification on : Friday, April 8, 2022 - 4:08:03 PM


  • HAL Id : hal-01844834, version 1


Strötgen Jannik, Anne-Lyse Minard, Lukas Lange, Manuela Speranza, Bernardo Magnini. KRAUTS: A German Temporally Annotated News Corpus. LREC 2018 - 11th International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan. ⟨hal-01844834⟩



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