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12/15/2019
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts
Information about the contributions of individual authors to scientific ...
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11/26/2018
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers
Bibliographic reference parsers extract machine-readable metadata such a...
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11/06/2018
Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots
One of the more prominent trends within Industry 4.0 is the drive to emp...
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08/27/2018
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing
Bibliographic reference parsers extract metadata (e.g. author names, tit...
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05/30/2018
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level
In this proposal we present the idea of a "macro recommender system", an...
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05/12/2018
Citation Data-set for Machine Learning Citation Styles and Entity Extraction from Citation Strings
Citation parsing is fundamental for search engines within academia and t...
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02/19/2018
A Study of Position Bias in Digital Library Recommender Systems
"Position bias" describes the tendency of users to interact with items o...
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02/04/2018
A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications
Creating scientific publications is a complex process, typically compose...
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02/04/2018
Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers
Bibliographic reference parsing refers to extracting machine-readable me...
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02/04/2018
Evaluation and Comparison of Open Source Bibliographic Reference Parsers: A Business Use Case
Bibliographic reference parsing refers to extracting machine-readable me...
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10/27/2017
