- ORCID iD
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0000-0002-0952-9213
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- Conference Paper
- C1
- open access
Ordinality in discrete-level question difficulty estimation : introducing balanced DRPS and OrderedLogitNN
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- Conference Paper
- C3
- open access
Ordinal regression for question difficulty estimation with transformer-based neural networks
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- Conference Paper
- C1
- open access
Active learning to guide labeling efforts for question difficulty estimation
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Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data
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Studies on advanced natural language processing representations and deep learning in decision making systems
(2022) -
Structural information in mathematical formulas for exercise difficulty prediction : a comparison of NLP representations
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- Conference Paper
- C1
- open access
Embedding navigation patterns for student performance prediction
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- Conference Paper
- C1
- open access
Towards the application of calibrated transformers to the unsupervised estimation of question difficulty from text
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Towards end-to-end multilingual question answering
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- Conference Paper
- C1
- open access
Code-mixed question answering challenge : crowd-sourcing data and techniques