## Neural QA

##### September 17, 2018

Another approach to transfer learning in NLP is Question Answering. In the most general case Question Answering is the generation of a textual answer to a given question by a given set of facts in some form. You can find a demo of QA system here

There are many types of this systems:

Categorized by facts representation:

A. Relational database B. Complex data structure - ontology, semantic web, e.t.c. C. Text

For example this article deals with combination C-2-d in this categorization. This combination leads to the necessity of using complex bi-directional attention mechanisms like BiDAF.