Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Ekaterina Loginova

ORCID iD: 0000-0002-0952-9213

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Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Ekaterina Loginova, Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove and Dries Benoit (UGent)

(2024) MACHINE LEARNING. 113. p.4761-4784
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- PhD Thesis
Studies on advanced natural language processing representations and deep learning in decision making systems

Ekaterina Loginova

(2022)
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Structural information in mathematical formulas for exercise difficulty prediction : a comparison of NLP representations

Ekaterina Loginova and Dries Benoit (UGent)

(2022) Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). p.101-106
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- Conference Paper
- C1
- open access
Embedding navigation patterns for student performance prediction

Ekaterina Loginova and Dries Benoit (UGent)

(2021) Proceedings of The 14th International Conference on Educational Data Mining (EDM 2021). p.391-399
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- Conference Paper
- C1
- open access
Towards the application of calibrated transformers to the unsupervised estimation of question difficulty from text

Ekaterina Loginova, Luca Benedetto, Dries Benoit (UGent) and Paolo Cremonesi

(2021) Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). In International conference Recent advances in natural language processing p.846-855
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Towards end-to-end multilingual question answering

Ekaterina Loginova, Stalin Varanasi and Günter Neumann

(2020) INFORMATION SYSTEMS FRONTIERS. 23(1). p.227-241
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- Conference Paper
- C1
- open access
Code-mixed question answering challenge : crowd-sourcing data and techniques

Khyathi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Chinnakotla, Eric Nyberg and Alan W. Black

(2019) Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching. p.29-38
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- Conference Paper
- C1
- open access
An interactive web-interface for visualizing the inner workings of the question answering LSTM

Ekaterina Loginova and Günter Neumann

(2019) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing : System Demonstrations (EMNLP2018). p.30-35
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- Conference Paper
- P1
- open access
A graph-based approach for learner-tailored teaching of Korean grammar constructions

Mikhail Akimov, Ekaterina Loginova and Maxim Musin

(2018) 2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW). In International Conference on Data Mining Workshops p.349-354