no code implementations • 6 Sep 2023 • Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro, Francesco Setti, Dario Del Sorbo
The model has been evaluated over machine translated Stanford NLI test dataset, machine translated Multi-Genre NLI test dataset, and manually translated RTE3-ITA test dataset.
no code implementations • 21 Jan 2021 • Francesca Del Bonifro, Maurizio Gabbrielli, Stefano Zacchiroli
Doing so is helpful to classify source code that lack file extensions (e. g., code snippets posted on the Web or executable scripts), to avoid misclassifying source code that has been recorded with wrong or uncommon file extensions, and also shed some light on the intrinsic recognizability of source code files.