mlsanityData to 14 Oct 2026

DORE: A Dataset For Portuguese Definition Generation

arXiv 2403.18018 ↗First posted 26 Mar 2024cs.CL cs.LGcited by 2

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Abstract (arXiv)

Definition modelling (DM) is the task of automatically generating a dictionary definition for a specific word. Computational systems that are capable of DM can have numerous applications benefiting a wide range of audiences. As DM is considered a supervised natural language generation problem, these systems require large annotated datasets to train the machine learning (ML) models. Several DM datasets have been released for English and other high-resource languages. While Portuguese is considered a mid/high-resource language in most natural language processing tasks and is spoken by more than 200 million native speakers, there is no DM dataset available for Portuguese. In this research, we fill this gap by introducing DORE; the first dataset for Definition MOdelling for PoRtuguEse containing more than 100,000 definitions. We also evaluate several deep learning based DM models on DORE and report the results. The dataset and the findings of this paper will facilitate research and study of Portuguese in wider contexts.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 20 of its 38 references that are in the map. First posted on arXiv 26 Mar 2024.

Builds on

20 of 38 references.

References · 20

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8 more
  1. 2017Learning to Explain Non-Standard English Words and Phrasescited by 21
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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025Multilingual Definition Modelingcited by 1
  2. 2025Adapting Definition Modeling for New Languages: A Case Study on Belarusiancited by 0