1 code implementation • EMNLP 2020 • Rexhina Blloshmi, Rocco Tripodi, Roberto Navigli
Abstract Meaning Representation (AMR) is a popular formalism of natural language that represents the meaning of a sentence as a semantic graph.
1 code implementation • EMNLP 2021 • Caterina Lacerra, Rocco Tripodi, Roberto Navigli
The lexical substitution task aims at generating a list of suitable replacements for a target word in context, ideally keeping the meaning of the modified text unchanged.
1 code implementation • LREC 2022 • Rocco Tripodi, Rexhina Blloshmi, Simon Levis Sullam
Through our evaluation, we are able to confirm that the infamous Protocols are actually a plagiarized text but, as we will show, we encounter several problems connected with the convoluted nature of the task, that is very different from the one reported in standard benchmarks of paraphrase detection and sentence similarity.
1 code implementation • Findings (EMNLP) 2021 • Rocco Tripodi, Simone Conia, Roberto Navigli
Multilingual and cross-lingual Semantic Role Labeling (SRL) have recently garnered increasing attention as multilingual text representation techniques have become more effective and widely available.
no code implementations • 13 Feb 2025 • Arianna Graciotti, Nicolas Lazzari, Valentina Presutti, Rocco Tripodi
We experiment with several State-of-the-Art models on the Entity Linking (EL) task and show that MHERCL is a challenging dataset for all of them.
no code implementations • 12 Aug 2022 • Gaia Gambarelli, Aldo Gangemi, Rocco Tripodi
SPeDaC 1 regards binary classification, a model has to detect if a sentence contains sensitive information or not; whereas, in SPeDaC 2 we collected labeled sentences using 5 categories that relate to macro-domains of personal information; in SPeDaC 3, the labeling is fine-grained (61 personal data categories).
1 code implementation • ACM Web Science 2021 • Agostina Calabrese, Michele Bevilacqua, Björn Ross, Rocco Tripodi, Roberto Navigli
In this work, we introduce Adversarial Attacks against Abuse (AAA), a new evaluation strategy and associated metric that better captures a model’s performance on certain classes of hard-to-classify microposts, and for example penalises systems which are biased on low-level lexical features.
Ranked #1 on
Hate Speech Detection
on Waseem et al., 2018
no code implementations • NAACL 2021 • Luigi Procopio, Rocco Tripodi, Roberto Navigli
Graph-based semantic parsing aims to represent textual meaning through directed graphs.
no code implementations • IJCNLP 2019 • Rocco Tripodi, Roberto Navigli
They represent ambiguous words as the players of a non cooperative game and their senses as the strategies that the players can select in order to play the games.
1 code implementation • WS 2019 • Rocco Tripodi, Massimo Warglien, Simon Levis Sullam, Deborah Paci
We investigate some aspects of the history of antisemitism in France, one of the cradles of modern antisemitism, using diachronic word embeddings.
no code implementations • 27 Jul 2017 • Rocco Tripodi, Stefano Li Pira
In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language.
no code implementations • 15 Sep 2016 • Rocco Tripodi, Sebastiano Vascon, Marcello Pelillo
These interactions allow the players to choose a cluster which is coherent with the clusters chosen by similar players, a property which is not guaranteed by NMF, since it produces a soft clustering of the data.
no code implementations • 8 Jul 2016 • Rocco Tripodi, Marcello Pelillo
Each document to be clustered is represented as a player and each cluster as a strategy.
no code implementations • CL 2017 • Rocco Tripodi, Marcello Pelillo
This paper presents a new model for word sense disambiguation formulated in terms of evolutionary game theory, where each word to be disambiguated is represented as a node on a graph whose edges represent word relations and senses are represented as classes.