Recent Progress in Deep Learning for NLP
Zhengdong Lu, Hang Li · 2016
Neural networkbased methods have been viewed as one of the major driving force in the recent development of natural language processing (NLP).We all have witnessed with great excitement how this subfield advances: new ideas emerge at an unprecedented speed and old ideas resurge in unexpected ways.In a nutshell, there are two major trends:• Ideas and techniques from other fields of machine learning and artificial intelligence (A.I.)have increasing impact on neural networkbased NLP methods.• With endtoend models taking on more complex tasks, the design of architecture and mechanisms often needs more domain knowledge from linguists and other domain experts.