Evaluation of Greek Word Embeddings

Understand

Since word embeddings have been the most popular input for many NLP tasks, evaluating their quality is of critical importance.

• Most research efforts are focusing on English word embeddings.
• This paper addresses the problem of constructing and evaluating such models for the Greek language.
• We created a new word analogy corpus considering the original English Word2vec word analogy corpus and some specific linguistic aspects of the Greek language as well.