Search Results for author: Rocco Tripodi

Found 15 papers, 6 papers with code

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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.

AMR Parsing Sentence +1

UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling

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.

Cross-Lingual Transfer Semantic Role Labeling

GeneSis: A Generative Approach to Substitutes in Context

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.

Evaluating Multilingual Sentence Representation Models in a Real Case Scenario

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.

Paraphrase Identification Retrieval +2

Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data

no code implementations12 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).

Binary Classification Sentence

AAA: Fair Evaluation for Abuse Detection Systems Wanted

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.

Abusive Language Hate Speech Detection +1

Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation

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.

Word Sense Disambiguation

Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914

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.

Diachronic Word Embeddings Word Embeddings

Analysis of Italian Word Embeddings

no code implementations27 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.

Word Embeddings

Context Aware Nonnegative Matrix Factorization Clustering

no code implementations15 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.

Clustering

Document Clustering Games in Static and Dynamic Scenarios

no code implementations8 Jul 2016 Rocco Tripodi, Marcello Pelillo

Each document to be clustered is represented as a player and each cluster as a strategy.

Clustering

A Game-Theoretic Approach to Word Sense Disambiguation

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.

Semantic Similarity Semantic Textual Similarity +1

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