S2ORC: The Semantic Scholar Open Research Corpus
arXiv:1911.02782
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.
ACL 2020
References in corpus (6)
- Distributed Representations of Words and Phrases and their Compositionality
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- CORD-19: The COVID-19 Open Research Dataset
- A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
- A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
- A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks