ملف الباحث

Georgiana Dinu

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. 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 …