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Pintér Balázs

Researcher
Eötvös Loránd University
Széchenyi Plusz RRF

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.

Selected publications

  • 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.
  • 2014 AAAI Fall Symposium (pp. 53-60).
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