Papers by Federico Liberatore

2 papers
SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc (2025.naacl-long)

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Challenge: Recent studies show that language understanding offered by chat-based Large Language Models is limited and far from human-like performance.
Approach: They propose a framework for multilingual Word Sense Disambiguation using group algebra.
Outcome: The proposed framework surpasses the performance of current alternatives even in low-resource languages while reducing the parameter count by 72%.
Back to the Basics: A Quantitative Analysis of Statistical and Graph-Based Term Weighting Schemes for Keyword Extraction (2021.emnlp-main)

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Challenge: Term weighting schemes are widely used in Natural Language Processing and Information Retrieval.
Approach: They perform an exhaustive and large-scale empirical comparison of term weighting methods in the context of keyword extraction using tf-idf.
Outcome: The proposed methods have advantages over tf-idf, and qualitative differences between them.

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