PaperRobot: Incremental Draft Generation of Scientific Ideas

Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan

Abstract
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper. Turing Tests, where a biomedical domain expert is asked to compare a system output and a human-authored string, show PaperRobot generated abstracts, conclusion and future work sections, and new titles are chosen over human-written ones up to 30%, 24% and 12% of the time, respectively.
Anthology ID:
P19-1191
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Anna Korhonen, David Traum, Lluís Màrquez
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1980–1991
Language:
URL:
https://aclanthology.org/P19-1191
DOI:
10.18653/v1/P19-1191
Bibkey:
Cite (ACL):
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, and Yi Luan. 2019. PaperRobot: Incremental Draft Generation of Scientific Ideas. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 1980–1991, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
PaperRobot: Incremental Draft Generation of Scientific Ideas (Wang et al., ACL 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/P19-1191.pdf
Supplementary:
 P19-1191.Supplementary.pdf
Poster:
 P19-1191.Poster.pdf
Code
 EagleW/PaperRobot +  additional community code
Data
PubMed Paper Reading Dataset, PubMed Term, Abstract, Conclusion, Title Dataset
PDF Search Code Supplementary Poster