8 citations · 12 across the 4 of their papers we have counts for
4 papers · 1 filter
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers
Dominika Tkaczyk, Rohit Gupta, Riccardo Cinti +1
Bibliographic reference parsers extract machine-readable metadata such as author names, title, journal, and year from bibliographic reference strings. To extract the metadata, the…
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing
Dominika Tkaczyk, Paraic Sheridan, Joeran Beel
Bibliographic reference parsers extract metadata (e.g. author names, title, year) from bibliographic reference strings. No reference parser consistently gives the best results in e…
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level
Andrew Collins, Dominika Tkaczyk, Joeran Beel
The effectiveness of recommendation algorithms is typically assessed with evaluation metrics such as root mean square error, F1, or click through rates, calculated over entire data…
Large scale citation matching using Apache Hadoop
Mateusz Fedoryszak, Dominika Tkaczyk, Łukasz Bolikowski
During the process of citation matching links from bibliography entries to referenced publications are created. Such links are indicators of topical similarity between linked texts…