Interactive Refinement of Cross-Lingual Word Embeddings

Cross-lingual word embeddings transfer knowledge between languages: models trained on high-resource languages can predict in low-resource languages. We introduce CLIME, an interactive system to quickly refine cross-lingual word embeddings for a given classification problem. First, CLIME ranks words...

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Bibliographische Detailangaben

Hauptverfasser:	Yuan, Michelle, Zhang, Mozhi, Van Durme, Benjamin, Findlater, Leah, Boyd-Graber, Jordan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning
Online-Zugang:	Volltext bestellen
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