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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
622015
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 (24), 32213-32242, 2018
362018
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
352016
Hand gesture recognition using deep convolutional neural networks
G Strezoski, D Stojanovski, I Dimitrovski, G Madjarov
International conference on ICT innovations, 49-58, 2016
302016
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
232018
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
162019
Tweetviz: Twitter data visualization
D Stojanovski, I Dimitrovski, G Madjarov
Proceedings of the data mining and data warehouses 1 (2), 2014
152014
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
142015
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
112020
Social networks VGI: Twitter sentiment analysis of social hotspots
D Stojanovski, I Chorbev, I Dimitrovski, G Madjarov
European Handbook of crowdsourced geographic information, 223, 2016
102016
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
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
62020
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
62019
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
52018
Content based image retrieval for large medical image corpus
G Strezoski, D Stojanovski, I Dimitrovski, G Madjarov
International Conference on Hybrid Artificial Intelligence Systems, 714-725, 2015
52015
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
42021
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
42020
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
D Stojanovski, A Fraser
arXiv preprint arXiv:2004.14927, 2020
42020
The LMU Munich Unsupervised Machine Translation Systems
D Stojanovski, V Hangya, M Huck, A Fraser
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
32018
Emotion identification in twitter messages for smart city applications
D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski
Information Innovation Technology in Smart Cities, 139-150, 2018
32018
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