IJCAI 2020poster0 citations
AutoSurvey: Automatic Survey Generation based on a Research Draft
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.
Natural Language Processing: general
BibTeX
@inproceedings{ijcai2020p761,
title = {AutoSurvey: Automatic Survey Generation based on a Research Draft},
author = {Huang, Hen-Hsen},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {5255--5257},
year = {2020},
month = {7},
note = {Demos},
doi = {10.24963/ijcai.2020/761},
url = {https://doi.org/10.24963/ijcai.2020/761},
}