A list of papers about guided summarizations with short summaries.


When we build abstractive summarization systems, it is important that generated summaries contain certain keywords to deliver precise information. However, it is not trivial to controll the behaviour of deep learning-based models which are currently dominant in the field. There are quite many works that try to tackle this problem recently. To grasp an overview, in this post, I will list papers I read related to this topic first, and then try to categorize them by approaches.

Disclaimer: This list is far from comprehensive and I intend to keep updating overtime.