Balázs Pintér has defended his PhD in natural language processing in 2019 and has been supervising 7 students. Main research interests are machine learning, natural language processing, and applying machine learning to software technology problems.
Word meaning for open domain dialogue systems, Balázs Pintér, 2019. PhD Thesis, Eötvös Loránd University
Wikifying novel words to mixtures of Wikipedia senses by structured sparse coding. Pintér, B., Vörös, G., Szabó, Z. and Lőrincz, A., 2015.
Pattern Recognition Applications and Methods (pp. 241-255). Springer, Cham. Recommending missing symbols of augmentative and alternative communication by means of explicit semantic analysis. Vörös, G., Rabi, P., Pintér, B., Sárkány, A., Sonntag, D. and Lőrincz, A., 2014.