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Martin Tutek
Martin Tutek
Verified email at ukp.informatik.tu-darmstadt.de - Homepage
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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
482016
Staying true to your word:(How) can attention become explanation?
M Tutek, J Šnajder
arXiv preprint arXiv:2005.09379, 2020
172020
Iterative recursive attention model for interpretable sequence classification
M Tutek, J Šnajder
arXiv preprint arXiv:1808.10503, 2018
92018
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
82017
Predicting news values from headline text and emotions
MP Di Buono, J Šnajder, BD Bašić, G Glavaš, M Tutek, N Milić-Frayling
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017
72017
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
22016
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
12017
NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter
L Obadić, M Tutek, J Šnajder
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity …, 2022
2022
Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability
M Tutek, J Šnajder
IEEE Access 10, 47011-47030, 2022
2022
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