Abstract
This work presents AutoSurvey, an intelligent system that performs literature survey and generates a summary specific to a research draft.
A neural model for information structure analysis is employed for extracting fine-grained information from the abstracts of previous work, and a novel evolutionary multi-source summarization model is proposed for generating the summary of related work.
This system is extremely used for both academic and educational purposes.
Keywords
- Natural Language Processing: general