no code implementations • LREC 2020 • Bal{\'a}zs Indig, {\'A}rp{\'a}d Knap, Zs{\'o}fia S{\'a}rk{\"o}zi-Lindner, M{\'a}ria Tim{\'a}ri, G{\'a}bor Palk{\'o}
In this article, we present the method we used to create a middle-sized corpus using targeted web crawling.
no code implementations • LREC 2020 • Bal{\'a}zs Indig, B{\'a}lint Sass, Iv{\'a}n Mittelholcz
When a module is put into xtsv, all functionalities of the system are immediately available for that module, and the module can be be a part of an xtsv pipeline.
1 code implementation • WS 2019 • Bal{\'a}zs Indig, B{\'a}lint Sass, Eszter Simon, Iv{\'a}n Mittelholcz, No{\'e}mi Vad{\'a}sz, M{\'a}rton Makrai
We present a more efficient version of the e-magyar NLP pipeline for Hungarian called emtsv.
no code implementations • LREC 2016 • Bal{\'a}zs Indig, M{\'a}rton Mih{\'a}ltz, Andr{\'a}s Simonyi
This paper presents the process of enriching the verb frame database of a Hungarian natural language parser to enable the assignment of semantic roles.