Noémi Ligeti-Nagy


A Clique-based Graphical Approach to Detect Interpretable Adjectival Senses in Hungarian
Enikő Héja | Noémi Ligeti-Nagy
Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing

The present paper introduces an ongoing research which aims to detect interpretable adjectival senses from monolingual corpora applying an unsupervised WSI approach. According to our expectations the findings of our investigation are going to contribute to the work of lexicographers, linguists and also facilitate the creation of benchmarks with semantic information for the NLP community. For doing so, we set up four criteria to distinguish between senses. We experiment with a graphical approach to model our criteria and then perform a detailed, linguistically motivated manual evaluation of the results.


What does the Nom say? An algorithm for case disambiguation in Hungarian
Noémi Ligeti-Nagy | Andrea Dömötör | Noémi Vadász
Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

Creation of a corpus with semantic role labels for Hungarian
Attila Novák | László Laki | Borbála Novák | Andrea Dömötör | Noémi Ligeti-Nagy | Ágnes Kalivoda
Proceedings of the 13th Linguistic Annotation Workshop

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. We briefly describe the objectives of our research, our efforts at eliminating errors in the Hungarian Universal Dependencies corpus, which we use as the base of our annotation effort, at creating a Hungarian verbal argument database annotated with thematic roles, at classifying adjuncts, and at matching verbal argument frames to specific occurrences of verbs and participles in the corpus.


What’s Wrong, Python? – A Visual Differ and Graph Library for NLP in Python
Balázs Indig | András Simonyi | Noémi Ligeti-Nagy
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)