Search Results for author: Dorina Lakatos

Found 6 papers, 3 papers with code

From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization

1 code implementation4 Apr 2024 Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács

To address this gap our paper introduces HunSum-2 an open-source Hungarian corpus suitable for training abstractive and extractive summarization models.

Abstractive Text Summarization Extractive Summarization +2

TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping

1 code implementation4 Nov 2023 Attila Nagy, Dorina Lakatos, Botond Barta, Judit Ács

Data augmentation methods for neural machine translation are particularly useful when limited amount of training data is available, which is often the case when dealing with low-resource languages.

Data Augmentation Machine Translation +1

HunSum-1: an Abstractive Summarization Dataset for Hungarian

1 code implementation1 Feb 2023 Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács

We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1. 14M news articles.

Abstractive Text Summarization

A Three Step Training Approach with Data Augmentation for Morphological Inflection

no code implementations14 Sep 2021 Gabor Szolnok, Botond Barta, Dorina Lakatos, Judit Acs

We present the BME submission for the SIGMORPHON 2021 Task 0 Part 1, Generalization Across Typologically Diverse Languages shared task.

Data Augmentation Decoder +1

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