8 citations · 14 across the 6 of their papers we have counts for
6 papers
Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types
Pierluigi Cassotti, Stefano De Pascale, Nina Tahmasebi
There is abundant evidence of the fact that the way words change their meaning can be classified in different types of change, highlighting the relationship between the old and new…
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…
The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change
Dominik Schlechtweg, Shafqat Mumtaz Virk, Pauline Sander +6
We present the DURel tool that implements the annotation of semantic proximity between uses of words into an online, open source interface. The tool supports standardized human ann…
Computational modeling of semantic change
Nina Tahmasebi, Haim Dubossarsky
In this chapter we provide an overview of computational modeling for semantic change using large and semi-large textual corpora. We aim to provide a key for the interpretation of r…