I currently work in Google Research, Zurich. Before I was PhD student at the University of Sheffield, Department of Computer Science, working in the Natural Language Processing Research Group, under supervision of Trevor Cohn and Kalina Bontcheva. My PhD thesis is about probabilistic modeling of rumours in social media.

I have worked on a range of NLP and social media applications, including meme popularity modeling and rumour stance classification. I am particularly interested in designing appropriate ML methods. I have worked with kernel methods, Gaussian Processes, point processes, submodular optimization and deep learning.

Selected Papers

Longitudinal Modeling of Social Media with Hawkes Process based on Users and Networks
P.K. Srijith, Michal Lukasik, Kalina Bontcheva and Trevor Cohn. In The IEEE/ACM International Conference on Social Networks Analysis and Mining, ASONAM, 2017.
Abstract
Stance classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik. In 26th International Conference on Computational Linguistics, COLING, 2016.
Abstract
Hawkes Processes for Continuous Time Sequence Classification an Application to Rumour Stance Classification in Twitter
Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn. In Proceedings of the 54th annual meeting of the Association for Computational Linguistics, ACL, 2016.
Abstract Code
Metrics for Evaluation of Word-level Machine Translation Quality Estimation
Varvara Logacheva, Michal Lukasik and Lucia Specia. In Proceedings of the 54th annual meeting of the Association for Computational Linguistics, ACL, 2016.
Abstract
Convolution Kernels for Discriminative Learning from Streaming Text
Michal Lukasik, Trevor Cohn. In Proceedings of the Thirtieth AAAI Conference. AAAI, 2016.
Abstract
Classifying Tweet Level Judgements of Rumours in Social Media
Michal Lukasik, Trevor Cohn and Kalina Bontcheva. In Proceedings of Empirical Methods of Natural Language Processing, EMNLP, 2015.
Abstract Code
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
Michal Lukasik, Srijith Prabhakaran Nair Kusumam, Trevor Cohn and Kalina Bontcheva. In Proceedings of Empirical Methods of Natural Language Processing, EMNLP, 2015.
Abstract
Point process modelling of rumour dynamics in social media
Michal Lukasik, Trevor Cohn and Kalina Bontcheva. In Proceedings of the 53rd annual meeting of the Association for Computational Linguistics, ACL, 2015.
Abstract