Martin Tutek
Martin Tutek
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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
262016
Iterative recursive attention model for interpretable sequence classification
M Tutek, J Šnajder
arXiv preprint arXiv:1808.10503, 2018
62018
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
62017
Staying True to Your Word:(How) Can Attention Become Explanation?
M Tutek, J Šnajder
arXiv preprint arXiv:2005.09379, 2020
32020
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
32017
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
12016
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
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Artikelen 1–7