no code implementations • LREC 2020 • Andrea D{\"o}m{\"o}t{\"o}r, Zijian Gy{\H{o}}z{\H{o}} Yang, Attila Nov{\'a}k
We created a tool based on the state-of-the-art transformer architecture implemented in Marian NMT framework that can identify and mark the location of zero copulas, i. e. the position where an overt copula would appear in the non-default cases.
no code implementations • WS 2019 • Attila Nov{\'a}k, L{\'a}szl{\'o} Laki, Borb{\'a}la Nov{\'a}k, Andrea D{\"o}m{\"o}t{\"o}r, No{\'e}mi Ligeti-Nagy, {\'A}gnes Kalivoda
In this article, an ongoing research is presented, the immediate goal of which is to create a corpus annotated with semantic role labels for Hungarian that can be used to train a parser-based system capable of formulating relevant questions about the text it processes.