Search Results for author: Richárd Farkas

Found 4 papers, 3 papers with code

Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

2 code implementations24 Aug 2023 György Orosz, Gergő Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas

This paper presents a set of industrial-grade text processing models for Hungarian that achieve near state-of-the-art performance while balancing resource efficiency and accuracy.

Boundary Detection Dependency Parsing +6

Hybrid lemmatization in HuSpaCy

1 code implementation13 Jun 2023 Péter Berkecz, György Orosz, Zsolt Szántó, Gergő Szabó, Richárd Farkas

Lemmatization is still not a trivial task for morphologically rich languages.


HuSpaCy: an industrial-strength Hungarian natural language processing toolkit

1 code implementation6 Jan 2022 György Orosz, Zsolt Szántó, Péter Berkecz, Gergő Szabó, Richárd Farkas

Although there are a couple of open-source language processing pipelines available for Hungarian, none of them satisfies the requirements of today's NLP applications.

Dependency Parsing Lemmatization +4

The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes

no code implementations Association for Computational Linguistics 2008 György Szarvas, Veronika Vincze, Richárd Farkas, János Csirik

This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus).

Negation Sentence

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