Abstractive text summarization with attention-based mechanism
Nima Sanjabi · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2018
In this work, we explore the evolution of Sequential Neural Models, and their use as a Summarizer System. Transformer is a recently proposed model with a high potential. We experiment and compare their result in abstractive summarization with a baseline model on two different datasets.