ML Anthology

AutoSurvey: Automatic Survey Generation Based on a Research Draft

Hen-Hsen Huang
IJCAI 2020 pp. 5255-5257
doi:10.24963/IJCAI.2020/761 /ijcai/2020/huang2020ijcai-autosurvey/

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.

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Cite

Text

Huang. "AutoSurvey: Automatic Survey Generation Based on a Research Draft." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/761

Markdown

[Huang. "AutoSurvey: Automatic Survey Generation Based on a Research Draft." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/huang2020ijcai-autosurvey/) doi:10.24963/IJCAI.2020/761

BibTeX

@inproceedings{huang2020ijcai-autosurvey,
  title     = {{AutoSurvey: Automatic Survey Generation Based on a Research Draft}},
  author    = {Huang, Hen-Hsen},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {5255-5257},
  doi       = {10.24963/IJCAI.2020/761},
  url       = {https://mlanthology.org/ijcai/2020/huang2020ijcai-autosurvey/}
}