11 citations · 53 across the 11 of their papers we have counts for
11 papers
Detection of metadata manipulations: Finding sneaked references in the scholarly literature
Lonni Besançon, Guillaume Cabanac, Cyril Labbé +4
We report evidence of a new set of sneaked references discovered in the scientific literature. Sneaked references are references registered in the metadata of publications without…
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts
Dominika Tkaczyk, Andrew Collins, Joeran Beel
Information about the contributions of individual authors to scientific publications is important for assessing authors' achievements. Some biomedical publications have a short sec…
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…
Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots
Wiesław Kopeć, Marcin Skibiński, Cezary Biele +6
One of the more prominent trends within Industry 4.0 is the drive to employ Robotic Process Automation (RPA), especially as one of the elements of the Lean approach. The full imple…
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…
A Study of Position Bias in Digital Library Recommender Systems
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa +1
"Position bias" describes the tendency of users to interact with items on top of a list with higher probability than with items at a lower position in the list, regardless of the i…
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications
Dominika Tkaczyk, Andrew Collins, Joeran Beel
Creating scientific publications is a complex process, typically composed of a number of different activities, such as designing the experiments, data preparation, programming soft…
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers
Dominika Tkaczyk, Andrew Collins, Paraic Sheridan +1
Bibliographic reference parsing refers to extracting machine-readable metadata, such as the names of the authors, the title, or journal name, from bibliographic reference strings.…
New Methods for Metadata Extraction from Scientific Literature
Dominika Tkaczyk
Within the past few decades we have witnessed digital revolution, which moved scholarly communication to electronic media and also resulted in a substantial increase in its volume.…
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…