Classes
Publications
- Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques2017 | Faculty of Mathematics and Physics
- Verb Sense Disambiguation in Machine Translation2016 | Faculty of Mathematics and Physics
- A Gentle Introduction to Machine Learning for Natural Language Processing: How to start in 16 practical steps2015 | Faculty of Mathematics and Physics
- Feature Extraction for Native Language Identification Using Language Modeling2015 | Faculty of Mathematics and Physics
- Rule-Based Extraction of English Verb Collocates from a Dependency-Parsed Corpus2013 | Faculty of Mathematics and Physics
- Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report2013 | Faculty of Mathematics and Physics
- Managing Uncertainty in Semantic Tagging2012 | Faculty of Mathematics and Physics
- Optimizing semantic granularity for NLP - report on a lexicographic experiment2012 | Faculty of Mathematics and Physics
- A database of semantic clusters of verb usages2012 | Faculty of Mathematics and Physics
- Tailored Feature Extraction for Lexical Disambiguation of English Verbs Based on Corpus Pattern Analysis2012 | Faculty of Mathematics and Physics
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