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Dario Stojanovski
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Twitter Sentiment Analysis Using Deep Convolutional Neural Network
D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
International Conference on Hybrid Artificial Intelligence Systems, 726-737, 2015
872015
Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages
D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski, I Chorbev
Multimedia Tools and Applications 77, 32213-32242, 2018
552018
Coreference and coherence in neural machine translation: A study using oracle experiments
D Stojanovski, A Fraser
Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018
392018
Hand gesture recognition using deep convolutional neural networks
G Strezoski, D Stojanovski, I Dimitrovski, G Madjarov
ICT Innovations 2016: Cognitive Functions and Next Generation ICT Systems, 49-58, 2018
392018
Finki at semeval-2016 task 4: Deep learning architecture for twitter sentiment analysis
D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
Proceedings of the 10th International workshop on semantic evaluation …, 2016
362016
Reusing a pretrained language model on languages with limited corpora for unsupervised nmt
A Chronopoulou, D Stojanovski, A Fraser
arXiv preprint arXiv:2009.07610, 2020
272020
Improving anaphora resolution in neural machine translation using curriculum learning
D Stojanovski, A Fraser
Proceedings of Machine Translation Summit XVII: Research Track, 140-150, 2019
262019
Tweetviz: Twitter data visualization
D Stojanovski, I Dimitrovski, G Madjarov
Proceedings of the data mining and data warehouses, 2014
242014
Improving the lexical ability of pretrained language models for unsupervised neural machine translation
A Chronopoulou, D Stojanovski, A Fraser
arXiv preprint arXiv:2103.10531, 2021
202021
Emotion identification in FIFA world cup tweets using convolutional neural network
D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
2015 11th International Conference on Innovations in Information Technology …, 2015
202015
Language-family adapters for low-resource multilingual neural machine translation
A Chronopoulou, D Stojanovski, A Fraser
arXiv preprint arXiv:2209.15236, 2022
132022
ContraCAT: Contrastive coreference analytical templates for machine translation
D Stojanovski, B Krojer, D Peskov, A Fraser
Proceedings of the 28th International Conference on Computational …, 2020
132020
Social networks VGI: Twitter sentiment analysis of social hotspots
D Stojanovski, I Chorbev, I Dimitrovski, G Madjarov
European Handbook of crowdsourced geographic information, 2016
122016
The LMU munich unsupervised machine translation system for WMT19
D Stojanovski, V Hangya, M Huck, A Fraser
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
102019
Lmu munich’s neural machine translation systems at wmt 2018
M Huck, D Stojanovski, V Hangya, A Fraser
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
102018
Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19
AF Dario Stojanovski
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
92019
Addressing zero-resource domains using document-level context in neural machine translation
D Stojanovski, A Fraser
arXiv preprint arXiv:2004.14927, 2020
62020
Language-family adapters for multilingual neural machine translation
A Chronopoulou, D Stojanovski, A Fraser
arXiv preprint arXiv:2209.15236, 2022
52022
The LMU Munich system for the WMT 2020 unsupervised machine translation shared task
A Chronopoulou, D Stojanovski, V Hangya, A Fraser
arXiv preprint arXiv:2010.13192, 2020
52020
Improving machine translation of rare and unseen word senses
V Hangya, Q Liu, D Stojanovski, A Fraser, A Korhonen
Proceedings of the Sixth Conference on Machine Translation, 614-624, 2021
42021
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