8 citations · 8 across the 4 of their papers we have counts for
4 papers · 1 filter
Explaining novel senses using definition generation with open language models
Mariia Fedorova, Andrey Kutuzov, Francesco Periti +1
We apply definition generators based on open-weights large language models to the task of creating explanations of novel senses, taking target word usages as an input. To this end,…
Analyzing Semantic Change through Lexical Replacements
Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky +1
Modern language models are capable of contextualizing words based on their surrounding context. However, this capability is often compromised due to semantic change that leads to w…
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
Francesco Periti, Nina Tahmasebi
Contextualized embeddings are the preferred tool for modeling Lexical Semantic Change (LSC). Current evaluations typically focus on a specific task known as Graded Change Detection…
(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection
Francesco Periti, Haim Dubossarsky, Nina Tahmasebi
In the universe of Natural Language Processing, Transformer-based language models like BERT and (Chat)GPT have emerged as lexical superheroes with great power to solve open researc…