GROBID: Combining Automatic Bibliographic Data Recognition and Term Extraction for Scholarship Publications
By Patrice Lopez. European Conference on Research and Advanced Technology for Digital Libraries, 2009
346 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/d55c8fbb7f314b5599c69d89f5993999cf5553af
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Daniel S. Weld
- Kyle Lo
- Lucy Lu Wang
- Oren Etzioni
- Luke S. Zettlemoyer
- Percy Liang
- Hannaneh Hajishirzi
- Noah A. Smith
In Molecular Biology
- Daniel S. Weld
- Kyle Lo
- Lucy Lu Wang
- Rodney Michael Kinney
- Oren Etzioni
- Kuansan Wang
- Mark Neumann
- Arman Cohan
Citations in the corpus
- GORC: A large contextual citation graph of academic papers (2019, methodology): “PDF to JSON We use G ROBID 5 (Lopez, 2009) to process each PDF: (i) extract the paper’s Ti-tle 6 , Authors , Year , Venue and Abstract , (ii) extract paragraphs from the Body text organized under extracted Section headings, (iii) extract Figure and Table captions, (iv) remove equations, table…”
- Citation recommendation: approaches and datasets (2020, neutral): “GROBID [104,105] CRF pdf xml no yes”
- CORD-19: The Covid-19 Open Research Dataset (2020, methodology): “Parse all PDFs to TEI XML files using GROBID15 (Lopez, 2009) 2.”