Search Results for author: Alfio Ferrara

Found 7 papers, 2 papers with code

LiMe: a Latin Corpus of Late Medieval Criminal Sentences

no code implementations19 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.

Language Modelling

How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models

no code implementations7 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).

Incremental Affinity Propagation based on Cluster Consolidation and Stratification

no code implementations25 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.

Clustering

An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics

1 code implementation26 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.

BIG-bench Machine Learning text-classification +1

Unsupervised Detection of Argumentative Units though Topic Modeling Techniques

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.

Argument Mining Opinion Mining +1

APFEL Web: a web-based application for the graphical visualization of parton distribution functions

1 code implementation20 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

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