activity
20182021
most citedParallelizing Machine Learning as a Service for the End-User

9 citations · 11 across the 3 of their papers we have counts for

collaborators

7 papers

cs.AI2021

Individual and Collective Autonomous Development

Marco Lippi, Stefano Mariani, Matteo Martinelli +1

The increasing complexity and unpredictability of many ICT scenarios let us envision that future systems will have to dynamically learn how to act and adapt to face evolving situat…

cs.CL20212 cited

Tree-Constrained Graph Neural Networks For Argument Mining

Federico Ruggeri, Marco Lippi, Paolo Torroni

We propose a novel architecture for Graph Neural Networks that is inspired by the idea behind Tree Kernels of measuring similarity between trees by taking into account their common…

cs.DC20209 cited

Parallelizing Machine Learning as a Service for the End-User

Daniela Loreti, Marco Lippi, Paolo Torroni

As ML applications are becoming ever more pervasive, fully-trained systems are made increasingly available to a wide public, allowing end-users to submit queries with their own dat…

cs.AI2019

Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning

Andrea Galassi, Kristian Kersting, Marco Lippi +2

Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning…

cs.CL2018

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining

Marco Passon, Marco Lippi, Giuseppe Serra +1

Internet users generate content at unprecedented rates. Building intelligent systems capable of discriminating useful content within this ocean of information is thus becoming a ur…

cs.AI2018

CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service

Marco Lippi, Przemyslaw Palka, Giuseppe Contissa +4

Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to…