AutoSurvey: Automatic Survey Generation based on a Research Draft

Hen-Hsen Huang
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
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.
doi:10.24963/ijcai.2020/761 dblp:conf/ijcai/Huang20 fatcat:rn66rm7w6vb7tofmypw6hlrelu