 Developing word, phrase, and document representation are essential to natural language processing NLP success. Such representations improve the efficiency of subsequent tasks like clustering, topic modeling, searching, and text mining by capturing word semantics and similarities. However simple, the conventional bag-of-words encoding does not consider the words placement, semantics, or context within a document. Distributed ... This Artificial Intelligence AI Research From Norway Introduce... 