Leonardo Rigutini


2022

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Fast Vocabulary Transfer for Language Model Compression
Leonidas Gee | Andrea Zugarini | Leonardo Rigutini | Paolo Torroni
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track

Real-world business applications require a trade-off between language model performance and size. We propose a new method for model compression that relies on vocabulary transfer. We evaluate the method on various vertical domains and downstream tasks. Our results indicate that vocabulary transfer can be effectively used in combination with other compression techniques, yielding a significant reduction in model size and inference time while marginally compromising on performance.

2018

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Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
Stefano Melacci | Achille Globo | Leonardo Rigutini
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)