The 4 Biggest Open Problems in NLP
This post discusses 4 major open problems in NLP based on an expert survey and a panel discussion at the Deep Learning Indaba.
This is the second blog post in a two-part series. The series expands on the Frontiers of Natural Language Processing session organized by Herman Kamper, Stephan Gouws, and me at the Deep Learning Indaba 2018. Slides of the entire session can be found here. The first post discussed major recent advances in NLP focusing on neural network-based methods. This post discusses major open problems in NLP. You can find a recording of the panel discussion this post