DISA: A Scientific Writing Advisor with Deep Information Structure Analysis
(Demonstration)
Abstract
This paper demonstrates DISA, a higher-level writing assistant system, which analyzes the information
structure of abstracts, and retrieves the knowledge
according to the research goals from the related
work. By incorporating the latest neural-network
technologies including linguistically-informed neural-network and autoencoder, we construct an intelligent system which extends the scope of computeraided writing