A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification

no code implementations • Proceedings of The 10th Asian Conference on Machine Learning 2018 • Hongli Wang, Jiangtao Ren

This model jointly performs abstractive text summarization and sentiment classification within a hierarchical end-to-end neural framework, in which the sentiment classification layer on top of the summarization layer predicts the sentiment label in the light of the text and the generated summary.

Abstractive Text Summarization Classification +3