Search Results - "Tkaczyk, Dominika"

Crossref: The sustainable source of community-owned scholarly metadata by Hendricks, Ginny, Tkaczyk, Dominika, Lin, Jennifer, Feeney, Patricia

“…This paper describes the scholarly metadata collected and made available by Crossref, as well as its importance in the scholarly research ecosystem. Containing…”
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CERMINE: automatic extraction of structured metadata from scientific literature by Tkaczyk, Dominika, Szostek, Paweł, Fedoryszak, Mateusz, Dendek, Piotr Jan, Bolikowski, Łukasz

“…CERMINE is a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form. The system is based on a…”
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New Methods for Metadata Extraction from Scientific Literature by Tkaczyk, Dominika

“…Within the past few decades we have witnessed digital revolution, which moved scholarly communication to electronic media and also resulted in a substantial…”
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Na\"iveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts by Tkaczyk, Dominika, Collins, Andrew, Beel, Joeran

“…27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019 Information about the contributions of individual authors to scientific…”
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ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing by Tkaczyk, Dominika, Sheridan, Paraic, Beel, Joeran

“…Bibliographic reference parsers extract metadata (e.g. author names, title, year) from bibliographic reference strings. No reference parser consistently gives…”
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One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level by Collins, Andrew, Tkaczyk, Dominika, Beel, Joeran

“…The effectiveness of recommendation algorithms is typically assessed with evaluation metrics such as root mean square error, F1, or click through rates,…”
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A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications by Tkaczyk, Dominika, Collins, Andrew, Beel, Joeran

“…Creating scientific publications is a complex process, typically composed of a number of different activities, such as designing the experiments, data…”
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ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers by Tkaczyk, Dominika, Gupta, Rohit, Cinti, Riccardo, Beel, Joeran

“…Bibliographic reference parsers extract machine-readable metadata such as author names, title, journal, and year from bibliographic reference strings. To…”
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A Study of Position Bias in Digital Library Recommender Systems by Collins, Andrew, Tkaczyk, Dominika, Aizawa, Akiko, Beel, Joeran

“…"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…”
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Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers by Tkaczyk, Dominika, Collins, Andrew, Sheridan, Paraic, Beel, Joeran

“…Bibliographic reference parsing refers to extracting machine-readable metadata, such as the names of the authors, the title, or journal name, from…”
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Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots by Kopeć, Wiesław, Skibiński, Marcin, Biele, Cezary, Skorupska, Kinga, Tkaczyk, Dominika, Jaskulska, Anna, Abramczuk, Katarzyna, Gago, Piotr, Marasek, Krzysztof

“…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…”
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CERMINE -- Automatic Extraction of Metadata and References from Scientific Literature by Tkaczyk, Dominika, Szostek, Pawel, Dendek, Piotr Jan, Fedoryszak, Mateusz, Bolikowski, Lukasz

“…CERMINE is a comprehensive open source system for extracting metadata and parsed bibliographic references from scientific articles in born-digital form. The…”
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Large scale citation matching using Apache Hadoop by Fedoryszak, Mateusz, Tkaczyk, Dominika, Bolikowski, Łukasz

“…During the process of citation matching links from bibliography entries to referenced publications are created. Such links are indicators of topical similarity…”
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A Modular Metadata Extraction System for Born-Digital Articles by Tkaczyk, D., Bolikowski, L., Czeczko, A., Rusek, K.

“…We present a comprehensive system for extracting metadata from scholarly articles. In our approach the entire document is inspected, including headers and…”
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