Word embeddings have proved useful in downstream NLP tasks such as Part of Speech Tagging (Collobert, 2011), Named Entity Recognition (Turian et al., 2010), and Machine Translation (Devlin et al., 2014).
the potential of word embeddings and further improvements remain a research question.