| Takelab at semeval-2016 task 6: Stance classification in tweets using a genetic algorithm based ensemble M Tutek, I Sekulić, P Gombar, I Paljak, F Čulinović, F Boltužić, M Karan, ... Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 31 | 2016 |
| Iterative recursive attention model for interpretable sequence classification M Tutek, J Šnajder arXiv preprint arXiv:1808.10503, 2018 | 7 | 2018 |
| Takelab at semeval-2017 task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news L Rotim, M Tutek, J Šnajder Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 6 | 2017 |
| Staying True to Your Word:(How) Can Attention Become Explanation? M Tutek, J Šnajder arXiv preprint arXiv:2005.09379, 2020 | 3 | 2020 |
| Predicting news values from headline text and emotions MP di Buono, J Šnajder, BD Bašić, G Glavaš, M Tutek, N Milic-Frayling Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017 | 3 | 2017 |
| Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base M Tutek, G Glavas, J Šnajder, N Milić-Frayling, B Dalbelo Basic Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 1 | 2016 |
| Two Layers of Annotation for Representing Event Mentions in News Stories MP di Buono, M Tutek, J Šnajder, G Glavaš, BD Bašić, N Milić-Frayling Proceedings of the 11th Linguistic Annotation Workshop, 82-90, 2017 | | 2017 |
Jan SnajderAssoc. Prof, University of Zagreb, FER, CroatiaVerified email at fer.hr
Jan SnajderAssoc. Prof, University of Zagreb, FER, CroatiaVerified email at fer.hr