2019/11/07 by Kyle Lo, Lucy Lu Wang, Lo, Kyle +9 · 1 voice
Computer Science · #Computation and Language (cs.CL) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.CL #cs.DL
paper · pdf · doi:10.48550/arxiv.1911.02782
ACL 2020
openalex publication_date 2019/11/07 · arxiv published 2019/11/07 · arxiv created 2020/07/07 · arxiv updated 2020/07/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.