Dirichlet-Smoothed Word Embeddings for Low-Resource Settings

no code implementations • LREC 2020 • Jakob Jungmaier, Nora Kassner, Benjamin Roth

We evaluate on standard word similarity data sets and compare to word2vec and the recent state of the art for low-resource settings: Positive and Unlabeled (PU) Learning for word embeddings.

Word Embeddings Word Similarity