Svetoslav Marinov

Data analysis of legal texts, especially such that requires high precision, is not achieved over a few months of using random algorithms and relying on freely floating datasets with semi-trustable annotation quality. It requires a team of highly motivated people (preferably with diverse skills), high-quality datasets and a lot of time for experiments, failures, refactoring, testing, and development as well as heated discussions.In this talk he will present how Seal have worked with Machine Learning, Natural Language Processing, and data analysis of legal texts and what are the difficulties they have encounter as well as the approach they have take to address them.

Svetoslav Marinov holds a PhD in Linguistics from the University of Gothenburg. He has worked in the field of Natural Language Processing and Machine Learning for more than 10 years. He has supervised a number of Masters' students at the University of Gothenburg, Lund University and the Chalmers University of Technology, as well as presented at conferences in Linguistics, NLP, and Machine Learning.