NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts

no code implementations • 15 Dec 2019 • Dominika Tkaczyk, Andrew Collins, Joeran Beel

In this paper, we present 1) A statistical analysis of roles in author contributions sections, and 2) Na\"iveRole, a novel approach to extract structured authors' roles from author contribution sections.

Clustering Open Information Extraction

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers

no code implementations • 26 Nov 2018 • Dominika Tkaczyk, Rohit Gupta, Riccardo Cinti, Joeran Beel

We propose ParsRec, a meta-learning based recommender-system that recommends the potentially most effective parser for a given reference string.

Meta-Learning Recommendation Systems

Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots

no code implementations • 6 Nov 2018 • Wiesław Kopeć, Marcin Skibiński, Cezary Biele, Kinga Skorupska, Dominika Tkaczyk, Anna Jaskulska, Katarzyna Abramczuk, Piotr Gago, Krzysztof Marasek

The full implementation of RPA is riddled with challenges relating both to the reality of everyday business operations, from SMEs to SSCs and beyond, and the social effects of the changing job market.

A Study of Position Bias in Digital Library Recommender Systems

no code implementations • 19 Feb 2018 • Andrew Collins, Dominika Tkaczyk, Akiko Aizawa, Joeran Beel

We conduct a study in a real-world recommender system that delivered ten million related-article recommendations to the users of the digital library Sowiport, and the reference manager JabRef.

Position Recommendation Systems

A Method for Discovering and Extracting Author Contributions Information from Scientific Biomedical Publications

no code implementations • 4 Feb 2018 • Dominika Tkaczyk, Andrew Collins, Joeran Beel

In this paper, we present an analysis of roles commonly appearing in the content of these sections, and propose an algorithm for automatic extraction of authors' roles from natural language text in scientific publications.

Digital Libraries

New Methods for Metadata Extraction from Scientific Literature

no code implementations • 27 Oct 2017 • Dominika Tkaczyk

Since in practice good quality metadata is not always available, there is a strong demand for a reliable automatic method of extracting machine-readable metadata directly from source documents.

Large scale citation matching using Apache Hadoop

1 code implementation • 26 Mar 2013 • Mateusz Fedoryszak, Dominika Tkaczyk, Łukasz Bolikowski

Such links are indicators of topical similarity between linked texts, are used in assessing the impact of the referenced document and improve navigation in the user interfaces of digital libraries.

Information Retrieval Digital Libraries H.3.3