no code implementations • LChange (ACL) 2022 • Francesco Periti, Alfio Ferrara, Stefano Montanelli, Martin Ruskov
Contextual word embedding techniques for semantic shift detection are receiving more and more attention.
no code implementations • 19 Apr 2024 • Alessandra Bassani, Beatrice Del Bo, Alfio Ferrara, Marta Mangini, Sergio Picascia, Ambra Stefanello
The Latin language has received attention from the computational linguistics research community, which has built, over the years, several valuable resources, ranging from detailed annotated corpora to sophisticated tools for linguistic analysis.
no code implementations • 7 Feb 2024 • Miriam Cuscito, Alfio Ferrara, Martin Ruskov
In our preliminary experiments, we perform fill-in-the-blank tests with 60 masked sentences (20 EME-specific, 20 ME-specific and 20 generic) and three different models (i. e., BERT Base, MacBERTh, English HLM).
no code implementations • 25 Jan 2024 • Silvana Castano, Alfio Ferrara, Stefano Montanelli, Francesco Periti
Modern data mining applications require to perform incremental clustering over dynamic datasets by tracing temporal changes over the resulting clusters.
1 code implementation • 26 May 2021 • Emanuele Guidotti, Alfio Ferrara
This paper presents Sparse Tensor Classifier (STC), a supervised classification algorithm for categorical data inspired by the notion of superposition of states in quantum physics.
Ranked #7 on Text Classification on 20NEWS
no code implementations • WS 2017 • Alfio Ferrara, Stefano Montanelli, Georgios Petasis
In this paper we present a new unsupervised approach, {``}Attraction to Topics{''} {--} A2T , for the detection of argumentative units, a sub-task of argument mining.
1 code implementation • 20 Oct 2014 • Stefano Carrazza, Alfio Ferrara, Daniele Palazzo, Juan Rojo
We present APFEL Web, a web-based application designed to provide a flexible user-friendly tool for the graphical visualization of parton distribution functions (PDFs).
High Energy Physics - Phenomenology High Energy Physics - Experiment