S2ORC: The Semantic Scholar Open Research Corpus

Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel Weld


Abstract
We introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers. Full text is annotated with automatically-detected inline mentions of citations, figures, and tables, each linked to their corresponding paper objects. In S2ORC, we aggregate papers from hundreds of academic publishers and digital archives into a unified source, and create the largest publicly-available collection of machine-readable academic text to date. We hope this resource will facilitate research and development of tools and tasks for text mining over academic text.
Anthology ID:
2020.acl-main.447
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4969–4983
Language:
URL:
https://aclanthology.org/2020.acl-main.447
DOI:
10.18653/v1/2020.acl-main.447
Bibkey:
Cite (ACL):
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld. 2020. S2ORC: The Semantic Scholar Open Research Corpus. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 4969–4983, Online. Association for Computational Linguistics.
Cite (Informal):
S2ORC: The Semantic Scholar Open Research Corpus (Lo et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-main.447.pdf
Video:
 http://slideslive.com/38929131
Code
 allenai/s2orc +  additional community code
Data
S2ORCCORD-19DBLPRefSeerSemantic Scholar