Papers by Frédérique Laforest

    1 papers
    Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata (N18-2)

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    Challenge: Existing Wikipedia content is unevenly distributed among 287 languages . authors propose a neural network architecture that generates textual summaries from Wikidata triples .
    Approach: They propose an automated approach to generate Wikipedia summaries from Wikidata triples using structured data.
    Outcome: The proposed approach is tested on Arabic and Esperanto languages with limited editors and content in the most under-resourced Wikipedias.

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