reference parsing

GIANT 2019, Reference Parsing, Deep Citation Parsing, Dataset, Cover

GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing [pre-print]

This is the pre-print of: Mark Grennan, Martin Schibel, Andrew Collins, and Joeran Beel. “GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing.” In 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 101–112, 2019. final Publication: http://aics2019.datascienceinstitute.ie/papers/aics_25.pdf Abstract. Extracting and parsing reference strings from research articles Read more…

By Joeran Beel, ago

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers

Our manuscript “ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers” was accepted for publication at the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS). It is an extended version of our recently presented poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” at the ACM RecSys conference. The Read more…

By Joeran Beel, ago

ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing (Pre-Print)

We are delighted to announce that our poster “ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing” has been accepted at the 12th ACM Recommender Systems Conference (RecSys) for presentation in Vancouver, Canada. The pre-print is available on arXiv, and here in our blog: Abstract Bibliographic reference parsers extract metadata (e.g. author names, Read more…

By Joeran Beel, ago