DACSA: A large-scale Dataset for Automatic summarization of Catalan and Spanish newspaper Articles
Encarnación Segarra Soriano, Vicent Ahuir, Lluís-F. Hurtado, José González
Abstract
The application of supervised methods to automatic summarization requires the availability of adequate corpora consisting of a set of document-summary pairs. As in most Natural Language Processing tasks, the great majority of available datasets for summarization are in English, making it difficult to develop automatic summarization models for other languages. Although Spanish is gradually forming part of some recent summarization corpora, it is not the same for minority languages such as Catalan. In this work, we describe the construction of a corpus of Catalan and Spanish newspapers, the Dataset for Automatic summarization of Catalan and Spanish newspaper Articles (DACSA) corpus. It is a high-quality large-scale corpus that can be used to train summarization models for Catalan and Spanish.We have carried out an analysis of the corpus, both in terms of the style of the summaries and the difficulty of the summarization task. In particular, we have used a set of well-known metrics in the summarization field in order to characterize the corpus. Additionally, for benchmarking purposes, we have evaluated the performances of some extractive and abstractive summarization systems on the DACSA corpus.- Anthology ID:
- 2022.naacl-main.434
- Volume:
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, United States
- Editors:
- Marine Carpuat, Marie-Catherine de Marneffe, Ivan Vladimir Meza Ruiz
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 5931–5943
- Language:
- URL:
- https://aclanthology.org/2022.naacl-main.434
- DOI:
- 10.18653/v1/2022.naacl-main.434
- Cite (ACL):
- Encarnación Segarra Soriano, Vicent Ahuir, Lluís-F. Hurtado, and José González. 2022. DACSA: A large-scale Dataset for Automatic summarization of Catalan and Spanish newspaper Articles. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5931–5943, Seattle, United States. Association for Computational Linguistics.
- Cite (Informal):
- DACSA: A large-scale Dataset for Automatic summarization of Catalan and Spanish newspaper Articles (Segarra Soriano et al., NAACL 2022)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2022.naacl-main.434.pdf
- Data
- MLSUM, NEWSROOM