Deep Learning, Artificial Intelligence, NLP, Language Model, Nce.
51.0% correct, compared to 48.0% correct reported in Word2Vec for the Skip-gram model with 640D embeddings. The 55.5% correct achieved by the model with 600D embeddings is also better than the best single-model score on this dataset in the literature (54.7% in [14]). Another work, which is