Richárd Farkas is an associate professor at the Department of Algorithms and Artificial Intelligence, University of Szeged. He obtained his PhD degree in 2010, then he spent two postdoc years in Hinrich Schütze’s group at IMS Stuttgart. He has worked on various Machine Learning-based Natural Language Processing problems.
He is well-recognised in the international NLP community because of winning biomedical shared tasks, organising the prestigious CoNNL-2010 challenge and his research on syntactic parsing for morphologically-rich languages. He is an active member of the Hungarian NLP community, he released several open source resources for Hungarian language processing (including magyarlanc) and he delivered, with his students, several industrial NLP applications for Hungarian organisations.
Viktor Hangya, Richárd Farkas: A comparative empirical study on social media sentiment analysis over various genres and languages. ARTIFICIAL INTELLIGENCE REVIEW 2017, Volume 47, Issue 4, pp 485–505
Alexander Fraser, Helmut Schmid, Richárd Farkas, Renjing Wang and Hinrich Schuetze: Knowledge Sources for Constituent Parsing of German, a Morphologically Rich and Less-Configurational Language in Computational Linguistics, Volume 39, Issue 1, 2013.
Richárd Farkas: Learning Local Content Shift Detectors from Document-level Information. in the Proceedings of Conference on Empirical Methods in Natural Language Processing EMNLP-2011, pp 759-770