Neural.based abstractive text summarization
Year: 2018
Type: dissertation
Abstract: 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.
Author: Sanjabi, Nima
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7112496581