Back to Search
Start Over
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
- Publication Year :
- 2019
-
Abstract
- Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a "read-attend-comment" procedure for news comment generation and formalize the procedure with a reading network and a generation network. The reading network comprehends a news article and distills some important points from it, then the generation network creates a comment by attending to the extracted discrete points and the news title. We optimize the model in an end-to-end manner by maximizing a variational lower bound of the true objective using the back-propagation algorithm. Experimental results on two datasets indicate that our model can significantly outperform existing methods in terms of both automatic evaluation and human judgment.<br />Comment: Accepted by EMNLP2019
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1909.11974
- Document Type :
- Working Paper