A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

Understand

Enabling a computer to understand a document so that it can answer comprehension questions is a central, yet unsolved goal of NLP.

• A key factor impeding its solution by machine learned systems is the limited availability of human-annotated data.
• Hermann et al.
• (2015) seek to solve this problem by creating over a million training examples by pairing CNN and Daily Mail news articles with their summarized bullet points, and show that a neural network can then be trained to give good performance on this task.