Francesco Mambrini — accepted AI-conference papers

2024

Exploring Neural Topic Modeling on a Classical Latin Corpus

Ginevra Martinelli, Paola Impicciché, Elisabetta Fersini, Francesco Mambrini, Marco Passarotti

COLING 2024main

The large availability of processable textual resources for Classical Latin has made it possible to study Latin literature through methods and tools that support distant reading. This paper describes a number of experiments carried out to test the possibility of investigating the thematic distributi…

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2024

Modelling and Linking an Old Latin-Portuguese Dictionary to the LiLa Knowledge Base

Lucas Consolin Dezotti, Marco Passarotti, Francesco Mambrini

COLING 2024main

This paper describes the steps undertaken to include data from Antonio Velez’s bilingual Latin-Portuguese dictionary (Index Totius Artis, 1744) into the LiLa Knowledge Base of interoperable linguistic resources for Latin. The paper focuses on how the lexical and lexicographic information of the sour…

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