{"type":"ScholarlyArticle","title":"AutoSurvey: Automatic Survey Generation based on a Research Draft","authors":[{"name":"Hen-Hsen Huang","slug":"hen-hsen-huang","given":"Hen-Hsen","family":"Huang","affiliation":"Department of Computer Science , National Chengchi University , Taipei City , Taiwan"}],"abstract":"This work presents AutoSurvey, an intelligent system that performs literature survey and generates a summary specific to a research draft. \r\nA 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. \r\nThis system is extremely used for both academic and educational purposes.","doi":"10.24963/ijcai.2020/761","url":"https://ijcai.org/proceedings/2020/761","pdf":"https://ijcai.org/proceedings/2020/0761.pdf","markdown":"https://ijcai.org/proceedings/2020/761.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/761","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Demos","track":"Demos","number":761,"pages":{"first":5255,"last":5257},"keywords":["Natural Language Processing: general"],"videos":[],"references":[{"position":1,"raw":"[Bing et al., 2015] Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, and Rebecca Passonneau. Abstractive multi- document summarization via phrase selection and merg- ing. In Proceedings of the 53rd Annual Meeting of the As- sociation for Computational Linguistics and the 7th Inter- national Joint Conference on Natural Language Process- ing (Volume 1: Long Papers), pages 1587-1597, Beijing, China, July 2015.","title":"Abstractive multidocument summarization via phrase selection and merging","authors":"Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca Passonneau","year":"2015","venue":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Boni et al., 2020] Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, and David Konopnicki. A study of human summaries of scientific articles. ArXiv, abs/2002.03604, 2020.","title":"A study of human summaries of scientific articles","authors":"Boni","year":"2020","venue":null,"doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Devlin et al., 2018] Jacob Devlin, Ming-Wei Chang, Ken- ton Lee, and Kristina Toutanova. BERT: pre-training of deep bidirectional transformers for language understand- ing. CoRR, abs/1810.04805, 2018.","title":"BERT: pre-training of deep bidirectional transformers for language understanding","authors":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova","year":"2018","venue":null,"doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Fan et al., 2017] Angela Fan, David Grangier, and Michael Auli. Controllable abstractive summarization. CoRR, abs/1711.05217, 2017.","title":"Controllable abstractive summarization","authors":"Angela Fan, David Grangier, Michael Auli","year":"2017","venue":null,"doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Huang and Chen, 2017] Hen-Hsen Huang and Hsin-Hsi Chen. Disa: A scientific writing advisor with deep infor- mation structure analysis. In Proceedings of the Twenty- Sixth International Joint Conference on Artificial Intelli- gence, IJCAI-17, pages 5229-5231, 2017.","title":"Disa: A scientific writing advisor with deep information structure analysis","authors":"Chen ; Hen-Hsen Huang, Hsin-Hsi Huang, Chen","year":"2017","venue":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17","doi":null,"url":null,"internal_url":"/proceedings/2017/773"},{"position":6,"raw":"[Huang and Chen, 2018] Hen-Hsen Huang and Hsin-Hsi Chen. Cisa: Chinese information structure analysis for scientific writing with cross-lingual adversarial learning. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, pages 5832-5834, 7 2018.","title":"Cisa: Chinese information structure analysis for scientific writing with cross-lingual adversarial learning","authors":"Chen ; Hen-Hsen Huang, Hsin-Hsi Huang, Chen","year":"2018","venue":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18","doi":null,"url":null,"internal_url":"/proceedings/2018/853"},{"position":7,"raw":"[Jaidka et al., 2016] Kokil Jaidka, Muthu Kumar Chan- drasekaran, Sajal Rustagi, and Min-Yen Kan. Overview of the CL-SciSumm 2016 shared task. In Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Li- braries (BIRNDL), pages 93-102, June 2016.","title":"Overview of the CL-SciSumm 2016 shared task","authors":"Kokil Jaidka, Muthu Kumar Chandrasekaran, Sajal Rustagi, Min-Yen Kan","year":"2016","venue":"Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Lebanoff et al., 2018] Logan Lebanoff, Kaiqiang Song, and Fei Liu. Adapting the neural encoder-decoder framework from single to multi-document summarization. In Pro- ceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4131-4141, Brus- sels, Belgium, October-November 2018.","title":"Adapting the neural encoder-decoder framework from single to multi-document summarization","authors":"Lebanoff","year":"2018","venue":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Lin and Ng, 2019] Hui Lin and Vincent Ng. Abstractive summarization: A survey of the state of the art. In Pro- ceedings of the AAAI Conference on Artificial Intelligence, volume 33, pages 9815-9822, 2019.","title":"Abstractive summarization: A survey of the state of the art","authors":"Lin, Ng ; ] Hui, Lin, Vincent Ng","year":"2019","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Liu et al., 2018] Yizhu Liu, Zhiyi Luo, and Kenny Zhu. Controlling length in abstractive summarization using a convolutional neural network. In Proceedings of the 2018 Conference on Empirical Methods in Natural Lan- guage Processing, pages 4110-4119, Brussels, Belgium, October-November 2018.","title":"Controlling length in abstractive summarization using a convolutional neural network","authors":"Liu","year":"2018","venue":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Narayan et al., 2018] Shashi Narayan, Shay B. Cohen, and Mirella Lapata. Ranking sentences for extractive sum- marization with reinforcement learning. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 1747-1759, New Orleans, Louisiana, June 2018.","title":"Ranking sentences for extractive summarization with reinforcement learning","authors":"Shashi Narayan, Shay B Cohen, Mirella Lapata","year":"2018","venue":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Pires et al., 2019] Telmo Pires, Eva Schlinger, and Dan Gar- rette. How multilingual is multilingual bert? CoRR, abs/1906.01502, 2019.","title":"How multilingual is multilingual bert? CoRR","authors":"Pires","year":"2019","venue":null,"doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[Yasunaga et al., 2019] Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R Fabbri, Irene Li, Dan Fried- man, and Dragomir R Radev. Scisummnet: A large an- notated corpus and content-impact models for scientific paper summarization with citation networks. In Proceed- ings of the AAAI Conference on Artificial Intelligence, vol- ume 33, pages 7386-7393, 2019.","title":"Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks","authors":"Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R Fabbri, Irene Li, Dan Friedman, Dragomir R Radev","year":"2019","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}