no code implementations • EMNLP (NLLP) 2021 • Kasper Drawzeski, Andrea Galassi, Agnieszka Jablonowska, Francesca Lagioia, Marco Lippi, Hans Wolfgang Micklitz, Giovanni Sartor, Giacomo Tagiuri, Paolo Torroni
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service.
1 code implementation • 27 Feb 2024 • Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
Artificial intelligence is continuously seeking novel challenges and benchmarks to effectively measure performance and to advance the state-of-the-art.
no code implementations • 11 May 2023 • Alessandro Giovannelli, Marco Lippi, Tommaso Proietti
The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium-to-long-run component of economic growth of a high-dimensional time series, available at the monthly frequency.
no code implementations • 15 Feb 2022 • Marco Lippi, Manfred Deistler, Brian Anderson
High-Dimensional Dynamic Factor Models are presented in detail: The main assumptions and their motivation, main results, illustrations by means of elementary examples.
no code implementations • 23 Sep 2021 • Marco Lippi, Stefano Mariani, Matteo Martinelli, Franco Zambonelli
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 situations with little or no a priori knowledge, both at the level of individual components and at the collective level.
1 code implementation • 2 Sep 2021 • Federico Ruggeri, Marco Lippi, Paolo Torroni
Transformers changed modern NLP in many ways.
1 code implementation • 2 Sep 2021 • Federico Ruggeri, Marco Lippi, Paolo Torroni
By imposing a series of regularization constraints to the learning problem, we exploit a pooling mechanism that incorporates such notion of fragments within the node soft assignment function that produces the embeddings.
1 code implementation • 24 Feb 2021 • Andrea Galassi, Marco Lippi, Paolo Torroni
We explore the use of residual networks and neural attention for multiple argument mining tasks.
Ranked #1 on Link Prediction on AbstRCT - Neoplasm
1 code implementation • COLING 2020 • Andrea Galassi, Kasper Drazewski, Marco Lippi, Paolo Torroni
We study annotation projection in text classification problems where source documents are published in multiple languages and may not be an exact translation of one another.
no code implementations • 24 Jul 2020 • Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni
Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents.
no code implementations • 28 May 2020 • 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 data, and to efficiently retrieve results.
no code implementations • 22 May 2019 • Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni
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 tasks.
no code implementations • 4 Feb 2019 • Andrea Galassi, Marco Lippi, Paolo Torroni
Attention is an increasingly popular mechanism used in a wide range of neural architectures.
1 code implementation • WS 2018 • Andrea Galassi, Marco Lippi, Paolo Torroni
We explore the use of residual networks for argumentation mining, with an emphasis on link prediction.
no code implementations • WS 2018 • Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso
Internet users generate content at unprecedented rates.
1 code implementation • 3 May 2018 • Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni
Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer.
no code implementations • 10 Apr 2018 • Marco Lippi, Marcelo A Montemurro, Mirko Degli Esposti, Giampaolo Cristadoro
In particular, we characterized the statistical structure of language by assessing word-frequency statistics, long-range correlations, and entropy measures.
no code implementations • 11 Aug 2014 • Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling.