Across the OECD, enormous effort and investment has been made to reinforce quality, production use of education research in policy practice. Despite this, using systematically at scale making practice remains a challenge for many countries systems. The OECD launched Strengthening Impact Education Research project respond this challenge.

This paper describes experiments to adapt document summarization to the medical domain. Our summarizer combines linguistic features corresponding to text fragments (typically sentences) and applies a machine learning approach to extract the most important text fragments from a document to form a summary. The generic features comprise features used in previous research on summarization. We propo...

We present a training framework for neural abstractive summarization based on actor-critic approaches from reinforcement learning. In the traditional neural network based methods, the objective is only to maximize the likelihood of the predicted summaries, no other assessment constraints are considered, which may generate low-quality summaries or even incorrect sentences. To alleviate this prob...