Dominika Tkaczyk
Dominika Tkaczyk
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CERMINE: automatic extraction of structured metadata from scientific literature
D Tkaczyk, P Szostek, M Fedoryszak, PJ Dendek, Ł Bolikowski
International Journal on Document Analysis and Recognition (IJDAR) 18 (4 …, 2015
Cermine--automatic extraction of metadata and references from scientific literature
D Tkaczyk, P Szostek, PJ Dendek, M Fedoryszak, L Bolikowski
2014 11th IAPR International Workshop on Document Analysis Systems, 217-221, 2014
Machine learning vs. rules and out-of-the-box vs. retrained: An evaluation of open-source bibliographic reference and citation parsers
D Tkaczyk, A Collins, P Sheridan, J Beel
Proceedings of the 18th ACM/IEEE on joint conference on digital libraries …, 2018
A modular metadata extraction system for born-digital articles
D Tkaczyk, L Bolikowski, A Czeczko, K Rusek
2012 10th IAPR International Workshop on Document Analysis Systems, 11-16, 2012
Large scale citation matching using Apache Hadoop
M Fedoryszak, D Tkaczyk, Ł Bolikowski
arXiv preprint arXiv:1303.6906, 2013
Crossref: The sustainable source of community-owned scholarly metadata
G Hendricks, D Tkaczyk, J Lin, P Feeney
Quantitative Science Studies 1 (1), 414-427, 2020
One-at-a-time: a meta-learning recommender-system for recommendation-algorithm selection on micro level
A Collins, D Tkaczyk, J Beel
arXiv preprint arXiv:1805.12118, 2018
GROTOAP2—the methodology of creating a large ground truth dataset of scientific articles
D Tkaczyk, P Szostek, L Bolikowski
D-Lib Magazine 20 (11/12), 2014
Position bias in recommender systems for digital libraries
A Collins, D Tkaczyk, A Aizawa, J Beel
International Conference on Information, 335-344, 2018
Extracting contextual information from scientific literature using CERMINE system
D Tkaczyk, Ł Bolikowski
Semantic Web Evaluation Challenges, 93-104, 2015
Grotoap: ground truth for open access publications
D Tkaczyk, A Czeczko, K Rusek, L Bolikowski, R Bogacewicz
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries …, 2012
A Novel Approach to Recommendation Algorithm Selection using Meta-Learning.
A Collins, D Tkaczyk, J Beel
AICS, 210-219, 2018
Structured affiliations extraction from scientific literature
D Tkaczyk, B Tarnawski, L Bolikowski
D-Lib Magazine 21 (11/12), 2015
New Methods for Metadata Extraction from Scientific Literature
D Tkaczyk
arXiv preprint arXiv:1710.10201, 2017
Methodology for evaluating citation parsing and matching
M Fedoryszak, Ł Bolikowski, D Tkaczyk, K Wojciechowski
Intelligent Tools for Building a Scientific Information Platform, 145-154, 2013
Hybrid approach to automation, RPA and machine learning: a method for the human-centered design of software robots
W Kopeć, M Skibiński, C Biele, K Skorupska, D Tkaczyk, A Jaskulska, ...
arXiv preprint arXiv:1811.02213, 2018
Evaluation and comparison of open source bibliographic reference parsers: A business use case
D Tkaczyk, A Collins, P Sheridan, J Beel
arXiv preprint arXiv:1802.01168, 2018
PDFJailbreak-a communal architecture for making biomedical PDFs semantic
A Garcia, P Murray-Rust, GA Burns, R Stevens, D Tkaczyk, C McLaughlin, ...
Proceedings of BioLINK SIG 2013, 63, 2013
Parsrec: A novel meta-learning approach to recommending bibliographic reference parsers
D Tkaczyk, R Gupta, R Cinti, J Beel
arXiv preprint arXiv:1811.10369, 2018
Data model for analysis of scholarly documents in the mapreduce paradigm
A Kawa, Ł Bolikowski, A Czeczko, PJ Dendek, D Tkaczyk
Intelligent Tools for Building a Scientific Information Platform, 155-169, 2013
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