CHANGE-IT@ EVALITA 2020: Change Headlines, Adapt News, GEnerate

Lorenzo De Mattei, Michele Cafagana, Felice Dell’Orletta, Malvina Nissim, Albert Gatt

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    Abstract

    We propose a generation task for Italian - more specifically, a style transfer task for headlines of Italian newspapers. This is the first shared task on generation included in the EVALITA evaluation framework. Indeed, one of the reasons to have this task is to stimulate more research on generation within the Italian community. With this aim in mind, we release to the participating teams not only training data, but also a baseline sequence to sequence model that performs the task in order to help everyone get started, even when not accustomed to Natural Language Generation (NLG) approaches. Contextually, we explore the complex issue of automatic evaluation of generated text, which is receiving particular attention in the NLG community.

    Original languageEnglish
    Title of host publicationProceedings of Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), Online. CEUR. org
    EditorsValerio Basile, Danilo Croce, Maria Di Maro, Lucia C. Passaro
    PublisherEuropean Language Resources Association (ELRA)
    Number of pages5
    Publication statusPublished - 2020
    EventEvaluation Campaign of Natural Language Processing and Speech Tools for Italian - Online
    Duration: 17-Dec-2020 → …
    Conference number: 7

    Workshop

    WorkshopEvaluation Campaign of Natural Language Processing and Speech Tools for Italian
    Abbreviated titleEVALITA 2020
    Period17/12/2020 → …

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