{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/construction-of-the-literature-graph-in","title":"Construction of the Literature Graph in Semantic Scholar","arxiv_id":"1805.02262","date":"2018-05-06","proceeding":"NAACL 2018 6","authors":["Waleed Ammar","Dirk Groeneveld","Chandra Bhagavatula","Iz Beltagy","Miles Crawford","Doug Downey","Jason Dunkelberger","Ahmed Elgohary","Sergey Feldman","Vu Ha","Rodney Kinney","Sebastian Kohlmeier","Kyle Lo","Tyler Murray","Hsu-Han Ooi","Matthew Peters","Joanna Power","Sam Skjonsberg","Lucy Lu Wang","Chris Wilhelm","Zheng Yuan","Madeleine van Zuylen","Oren Etzioni"],"abstract":"We describe a deployed scalable system for organizing published scientific\nliterature into a heterogeneous graph to facilitate algorithmic manipulation\nand discovery. The resulting literature graph consists of more than 280M nodes,\nrepresenting papers, authors, entities and various interactions between them\n(e.g., authorships, citations, entity mentions). We reduce literature graph\nconstruction into familiar NLP tasks (e.g., entity extraction and linking),\npoint out research challenges due to differences from standard formulations of\nthese tasks, and report empirical results for each task. The methods described\nin this paper are used to enable semantic features in www.semanticscholar.org","url_abs":"http://arxiv.org/abs/1805.02262v1","url_pdf":"http://arxiv.org/pdf/1805.02262v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"entity-extraction","task_name":"Entity Extraction using GAN"},{"task_slug":"graph-construction","task_name":"graph construction"}],"methods":[],"datasets_introduced":[{"slug":"semantic-scholar","name":"Semantic Scholar","full_name":"Semantic Scholar"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1805.02262","atlas_url":"https://app.syntology.ai/?focus=1805.02262","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}