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EVENFLOW co-organises talk: Selected techniques for relational & text data analysis
EVENFLOW together with partner NCSR Demokritos hosted invited speakers Prof. Nada Lavrač and Dr. Senja Pollak from the Jožef Stefan Institute in Ljubljana, Slovenia, that delivered a talk titled Selected techniques for relational and text data analysis.
The talk took place in hybrid mode at NCSR Demokritos premises, Building 26, Lecture Room, on Monday 27 March 2023, at 11.00 EET and also was broadcast through zoom.
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EVENFLOW together with partner NCSR Demokritos hosted invited speakers Prof. Nada Lavrač and Dr. Senja Pollak from the Jožef Stefan Institute in Ljubljana, Slovenia, that delivered a talk titled Selected techniques for relational and text data analysis.
The talk took place in hybrid mode at NCSR Demokritos premises, Building 26, Lecture Room, on Monday 27 March 2023, at 11.00 EET and also was broadcast through zoom.
Watch the video of the talk: https://evenflow-project.eu/news/evenflow-co-organises-talk-selected-te…
Prof. Nada Lavrač
Dr. Senja Pollak
Abstract of the talk: This talk presents selected techniques for relational and text data analysis, developed at the Department of Knowledge Technologies, Jožef Stefan Institute (JSI), Ljubljana, Slovenia. In the first part of the lecture, we present selected machine learning methods for the analysis of relational and networked data, which are based on data transformation into a simpler and efficient tabular format. In the second part, we present selected text mining methods, developed during the Horizon 2020 project EMBEDDIA (Cross-Lingual Embeddings for Less-Represented Languages in European News Media, 2020-2022), which we coordinated at JSI.
Nada Lavrač is a research councillor and has formerly acted as Head of Department of Knowledge Technologies at Jožef Stefan Institute (JSI) in Ljubljana, Slovenia. She is an expert in the field of machine learning and NLP, and the 2022 National Zois Award winner for outstanding scientific achievements in the area of machine learning. She has been an invited speaker at numerous AI conferences and has recently co-authored a book with Springer on Representation Learning: Propositionalisation and Embeddings. She has co-authored 4 other books, including one on Inductive Logic Programming, and another on Foundations of Rule Learning. She published papers in IF journals incl. Machine Learning and Journal of Machine Learning Research.
Senja Pollak is a researcher and NLP group leader at Department of Knowledge Technologies at Jožef Stefan Institute (JSI) in Ljubljana, Slovenia. She was the coordinator of the H2020 project EMBEDDIA (12 partners, budget 3 mio EUR), is a co-leader of RobaCOFI project (funded under the call of AI4Media), and is the leader of national project CANDAS. She has been a leader for industrial projects Kliping, TermIolar 1, 2, WP/task leader on EU projects MUSE, SAAM, PROSECCO, and institutional lead on national projects SOVRAG, KOBOS, FORMICA, and TermFrame. She has served in several conference organisation and program committees (chair of SLSP 2019) and published papers in IF journals incl. Computational Linguistics, Natural Language Engineering, Terminology, Language Resources, and Eval., Int. Journal of Lexicography.