ملف الباحث
Georgiana Dinu
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
2017
The state-of-the-art named entity recognition (NER) systems are supervised machine learning models that require large amounts of manually annotated data to achieve high accuracy. However, annotating NER data by human is expensive and time-consuming, and …