SIGARRA News Corpus

This dataset was taken from the SIGARRA information system at the University of Porto (UP). Every organic unit has its own domain and produces academic news. We collected a sample of 1000 news, manually annotating 905 using the Brat rapid annotation tool. This dataset consists of three files. The first is a CSV file containing news published between 2016-12-14 and 2017-03-01. The second file is a ZIP archive containing one directory per organic unit, with a text file and an annotations file per news article. The third file is an XML containing the complete set of news in a similar format to the HAREM dataset format. This dataset is particularly adequate for training named entity recognition models.

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Papildus informācija

Lauks Vērtība
Avots https://sigarra.up.pt
Autors André Pires
Pēdējā atjaunināšana februāris 19, 2020, 15:37 (UTC)
Izveidots jūnijs 13, 2017, 14:35 (UTC)
DOI https://doi.org/10.25747/s5jn-q370
dc.Contributor José Devezas, Sérgio Nunes
dc.Coverage.Spatial Porto
dc.Coverage.Temporal 2016-12-14 to 2017-03-01
dc.Date 2017
dc.Format *.csv; *.xml; *.zip
dc.Format.Extent 4,22MB
dc.Language PT
dc.Publisher INESC TEC
dc.Relation Master´s thesis: PIRES, André (2017).Named entity recognition on Portuguese web text. Porto: Faculdade de Engenharia da Universidade do Porto.http://hdl.handle.net/10216/106094
dc.Type Entity Annotated News