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Combining Minimally-supervised Methods for Arabic Named Entity Recognition

URN to cite this document:
urn:nbn:de:bvb:355-epub-403453
DOI to cite this document:
10.5283/epub.40345
Althobaiti, M. ; Kruschwitz, Udo ; Poesio, Massimo
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Date of publication of this fulltext: 13 Jun 2019 13:22


Abstract

Supervised methods can achieve high performance on NLP tasks, such as Named Entity Recognition (NER), but new annotations are required for every new domain and/or genre change. This has motivated research in minimally supervised methods such as semi-supervised learning and distant learning, but neither technique has yet achieved performance levels comparable to those of supervised methods. ...

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