ELiRF/dacsa

Tasks

• summarization

Citation text from the card

@inproceedings{segarra-soriano-etal-2022-dacsa,
    title = "{DACSA}: A large-scale Dataset for Automatic summarization of {C}atalan and {S}panish newspaper Articles",
    author = "Segarra Soriano, Encarnaci{\'o}n  and
      Ahuir, Vicent  and
      Hurtado, Llu{\'\i}s-F.  and
      Gonz{\'a}lez, Jos{\'e}",
    booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.naacl-main.434",
    doi = "10.18653/v1/2022.naacl-main.434",
    pages = "5931--5943",
    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 

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