2 citations · 2 across the 3 of their papers we have counts for
3 papers
HuAMR: A Hungarian AMR Parser and Dataset
Botond Barta, Endre Hamerlik, Milán Konor Nyist +1
We present HuAMR, the first Abstract Meaning Representation (AMR) dataset and a suite of large language model-based AMR parsers for Hungarian, targeting the scarcity of semantic re…
From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization
Botond Barta, Dorina Lakatos, Attila Nagy +2
Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably…
HunSum-1: an Abstractive Summarization Dataset for Hungarian
Botond Barta, Dorina Lakatos, Attila Nagy +2
We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data fro…