Gábor Recski (he/him) is a computational linguist working in the field of natural language processing (NLP). Formerly an assistant professor at the Budapest University of Technology, he is currently a postdoctoral researcher in the Data Science Research Unit at the TU Wien Faculty of Informatics. His research interests include the computational modeling of natural language semantics and the use of such models for transparent information extraction. In addition to his research Gábor also teaches two courses on NLP at the Faculty and supervises several students at the BSc, MSc, and PhD levels. He is the co-author of over 50 peer-reviewed publications and a program committee member of ACL, EMNLP, LREC, as well as ACM CIKM and SIGIR.

Gábor Recski (he/him) is a computational linguist working in the field of natural language processing (NLP). Formerly an assistant professor at the Budapest University of Technology, he is currently a postdoctoral researcher in the Data Science Research Unit at the TU Wien Faculty of Informatics. His research interests include the computational modeling of natural language semantics and the use of such models for transparent information extraction. In addition to his research Gábor also teaches two courses on NLP at the Faculty and supervises several students at the BSc, MSc, and PhD levels. He is the co-author of over 50 peer-reviewed publications and a program committee member of ACL, EMNLP, LREC, as well as ACM CIKM and SIGIR.