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Luigi Procopio

8 accepted papers

2024

MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus

Simone Conia, Edoardo Barba, Abelardo Carlos Martinez Lorenzo, Pere-Lluís Huguet Cabot, Riccardo Orlando, Luigi Procopio +1
NAACL 2024long

Several Natural Language Understanding (NLU) tasks focus on linking text to explicit knowledge, including Word Sense Disambiguation, Semantic Role Labeling, Semantic Parsing, and Relation Extraction. In addition to the importance of connecting raw text with explicit knowledge bases, the integration…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2024

Word Sense Linking: Disambiguating Outside the Sandbox

Andrei Bejgu, Edoardo Barba, Luigi Procopio, Alberte Fernández-Castro, Roberto Navigli
ACL 2024findings

Word Sense Disambiguation (WSD) is the task of associating a word in a given context with its most suitable meaning among a set of possible candidates. While the task has recently witnessed renewed interest, with systems achieving performances above the estimated inter-annotator agreement, at the ti…

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2021

ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension

Edoardo Barba, Luigi Procopio, Roberto Navigli
EMNLP 2021main

Supervised systems have nowadays become the standard recipe for Word Sense Disambiguation (WSD), with Transformer-based language models as their primary ingredient. However, while these systems have certainly attained unprecedented performances, virtually all of them operate under the constraining a…

Cited by 86Source ↗PDF ↗code ↗Scholar ↗
2021

Exemplification Modeling: Can You Give Me an Example, Please?

Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli
IJCAI 2021poster

Recently, generative approaches have been used effectively to provide definitions of words in their context. However, the opposite, i.e., generating a usage example given one or more words along with their definitions, has not yet been investigated. In this work, we introduce the novel task of Exemp…

Cited by 21Source ↗PDF ↗code ↗Scholar ↗
2021

MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation

Luigi Procopio, Edoardo Barba, Federico Martelli, Roberto Navigli
IJCAI 2021poster

Word Sense Disambiguation (WSD), i.e., the task of assigning senses to words in context, has seen a surge of interest with the advent of neural models and a considerable increase in performance up to 80% F1 in English. However, when considering other languages, the availability of training data is l…

Cited by 21Source ↗PDF ↗code ↗Scholar ↗
2021

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

Luigi Procopio, Rocco Tripodi, Roberto Navigli
NAACL 2021long

Graph-based semantic parsing aims to represent textual meaning through directed graphs. As one of the most promising general-purpose meaning representations, these structures and their parsing have gained a significant interest momentum during recent years, with several diverse formalisms being prop…

Cited by 28Source ↗PDF ↗code ↗Scholar ↗
2020

MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation

Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli
IJCAI 2020poster

The knowledge acquisition bottleneck strongly affects the creation of multilingual sense-annotated data, hence limiting the power of supervised systems when applied to multilingual Word Sense Disambiguation. In this paper, we propose a semi-supervised approach based upon a novel label propagation sc…

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