| Uwb: Machine learning approach to aspect-based sentiment analysis T Brychcín, M Konkol, J Steinberger Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 100 | 2014 |
| Latent semantics in named entity recognition M Konkol, T Brychcín, M Konopík Expert Systems with Applications 42 (7), 3470-3479, 2015 | 86 | 2015 |
| HPS: High precision stemmer T Brychcín, M Konopík Information Processing & Management 51 (1), 68-91, 2015 | 80 | 2015 |
| UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis T Hercig, T Brychcín, L Svoboda, M Konkol Proceedings of SemEval, 342-349, 2016 | 76 | 2016 |
| UWB at SemEval-2016 Task 1: Semantic textual similarity using lexical, syntactic, and semantic information TÁ Brychcín, L Svoboda Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 72 | 2016 |
| Aspect-level sentiment analysis in czech J Steinberger, T Brychcín, M Konkol Proceedings of the 5th workshop on computational approaches to subjectivity …, 2014 | 59 | 2014 |
| Linear transformations for cross-lingual semantic textual similarity T Brychcín Knowledge-Based Systems, 2020 | 52 | 2020 |
| Unsupervised methods to improve aspect-based sentiment analysis in Czech T Hercig, T Brychcín, L Svoboda, M Konkol, J Steinberger Computación y Sistemas 20 (3), 365-375, 2016 | 47 | 2016 |
| Semantic spaces for improving language modeling T Brychcín, M Konopík Computer Speech & Language 28 (1), 192-209, 2014 | 42 | 2014 |
| Unsupervised improving of sentiment analysis using global target context T Brychcín, I Habernal Proceedings of the international conference recent advances in natural …, 2013 | 40 | 2013 |
| New word analogy corpus for exploring embeddings of Czech words L Svoboda, T Brychcin Computational Linguistics and Intelligent Text Processing: 17th …, 2018 | 35 | 2018 |
| Cross-lingual word analogies using linear transformations between semantic spaces T Brychcín, S Taylor, L Svoboda Expert Systems with Applications 135, 287-295, 2019 | 27 | 2019 |
| Semantic spaces for sentiment analysis I Habernal, T Brychcín Text, Speech, and Dialogue: 16th International Conference, TSD 2013, Pilsen …, 2013 | 26 | 2013 |
| Unsupervised Dialogue Act Induction using Gaussian Mixtures T Brychcín, P Král Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 25 | 2017 |
| Cross-lingual Flames Detection in News Discussions. J Steinberger, T Brychcín, T Hercig, P Krejzl RANLP, 694-700, 2017 | 19 | 2017 |
| Latent semantics in language models T Brychcín, M Konopík Computer Speech & Language 33 (1), 88-108, 2015 | 18 | 2015 |
| Novel unsupervised features for Czech multi-label document classification T Brychcín, P Král Human-Inspired Computing and Its Applications: 13th Mexican International …, 2014 | 17 | 2014 |
| Uwb at semeval-2016 task 2: Interpretable semantic textual similarity with distributional semantics for chunks M Konopik, O Pražák, D Steinberger, T Brychcín Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 16 | 2016 |
| Morphological based language models for inflectional languages T Brychcín, M Konopík Proceedings of the 6th IEEE International Conference on Intelligent Data …, 2011 | 16 | 2011 |
| Geographical evaluation of word embeddings M Konkol, T Brychcín, M Nykl, T Hercig Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 12 | 2017 |
Michal KonkolUniversity of West BohemiaVerified email at kiv.zcu.cz
