Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques. - Khyathi Raghavi Chandu; Ekaterina Loginova; Vishal Gupta; Josef van Genabith; Günter Neumann; Manoj Kumar Chinnakotla; Eric Nyberg; Alan W. Black (CodeSwitch@ACL, 2018)

Towards Multilingual Neural Question Answering. - Ekaterina Loginova; Stalin Varanasi; Günter Neumann (ADBIS (Short Papers and Workshops), 2018)

An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM. - Ekaterina Loginova; Günter Neumann (EMNLP (Demonstration), 2018)

A Graph-Based Approach for Learner-Tailored Teaching of Korean Grammar Constructions. - Mikhail Akimov; Ekaterina Loginova; Maxim Musin (ICDM Workshops, 2018)

Embedding navigation patterns for student performance prediction. - Ekaterina Loginova; Dries F. Benoit (EDM, 2021)

Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text. - Ekaterina Loginova; Luca Benedetto; Dries F. Benoit; Paolo Cremonesi (RANLP, 2021)

Towards End-to-End Multilingual Question Answering. - Ekaterina Loginova; Stalin Varanasi; Günter Neumann (Inf. Syst. Frontiers, 2021)

Studies on advanced natural language processing representations and deep learning in decision making systems. - Ekaterina Loginova (2022)

Active Learning to Guide Labeling Efforts for Question Difficulty Estimation. - Arthur Thuy; Ekaterina Loginova; Dries F. Benoit (CoRR, 2024)

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; Dries F. Benoit (Mach. Learn., 2024)

Ordinality in Discrete-level Question Difficulty Estimation: Introducing Balanced DRPS and OrderedLogitNN. - Arthur Thuy; Ekaterina Loginova; Dries F. Benoit (CoRR, 2025)