Martina Galletti — accepted AI-conference papers

2025

Are Your Keywords Like My Queries? A Corpus-Wide Evaluation of Keyword Extractors with Real Searches

Martina Galletti, Giulio Prevedello, Emanuele Brugnoli, Donald Ruggiero Lo Sardo, Pietro Gravino

COLING 2025main

Keyword Extraction (KE) is essential in Natural Language Processing (NLP) for identifying key terms that represent the main themes of a text, and it is vital for applications such as information retrieval, text summarisation, and document classification. Despite the development of various KE methods…

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2022

Interactive concept-map based summaries for SEND children

Martina Galletti, Michael Anslow, Francesca Bianchi, Manuela Calanca, Donatella Tomaiuoli, Remi Van Trijp +2

IJCAI 2022poster

Equitable and inclusive quality education is a human right. It is crucial to provide for the learning needs of every child, especially those with learning disabilities. Traditional approaches to learning propose education paths performed with speech therapists. One of the most efficient strategies t…

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