An Empirical Evaluation of Automatic Conversion from Constituency to Dependency in Hungarian. - Katalin Ilona Simkó; Veronika Vincze; Zsolt Szántó; Richárd Farkas (COLING, 2014)

Special Techniques for Constituent Parsing of Morphologically Rich Languages. - Zsolt Szántó; Richárd Farkas (EACL, 2014)

Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. - Veronika Vincze; Katalin Ilona Simkó; Zsolt Szántó; Richárd Farkas (EACL (1), 2017)

WomboCombo results for OAEI 2022. - Péter Kardos; Zsolt Szántó; Richárd Farkas (OM@ISWC, 2022)

HuSpaCy: an industrial-strength Hungarian natural language processing toolkit. - György Orosz; Zsolt Szántó; Péter Berkecz; Gergo Szabó; Richárd Farkas (CoRR, 2022)

Enhancing Medication Event Classification with Syntax Parsing and Adversarial Learning. - Zsolt Szántó; Balázs Bánáti; Tamás Zombori (AIAI (1), 2023)

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines. - György Orosz; Gergo Szabó; Péter Berkecz; Zsolt Szántó; Richárd Farkas (TSD, 2023)

Hybrid lemmatization in HuSpaCy. - Péter Berkecz; György Orosz; Zsolt Szántó; Gergo Szabó; Richárd Farkas (CoRR, 2023)

Knowledge Representation Approaches for Educational Question Generation. - Soma Bálint Nagy; Péter Berkecz; Zsolt Szántó; Péter Kardos; Richárd Farkas (TSD (2), 2025)