Papers by Alessandro Cappelli

2 papers
PAGnol: An Extra-Large French Generative Model (2022.lrec-1)

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Challenge: a growing number of pre-trained language models are available in many different languages.
Approach: They propose a French-language GPT model with scaling laws to train it efficiently . they evaluate the models on discriminative and generative tasks in French .
Outcome: The proposed model trains with the same computational budget as CamemBERT, a model 13 times smaller.
PISA: A measure of Preference In Selection of Arguments to model verb argument recoverability (2020.starsem-1)

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Challenge: a computational model of the semantic recoverability of verb arguments is tested on direct objects and Instruments.
Approach: They propose a computational model of the semantic recoverability of verb arguments . they use a selectional preference model to compute selectional preferences of verbs .
Outcome: The proposed model can predict the recoverability of objects and Instruments at a much cheaper computational cost.

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