4 papers
EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge
Klim Zaporojets, Daniel Daza, Edoardo Barba +3
Knowledge Graphs (KGs) are structured knowledge repositories containing entities and relations between them. In this paper, we study the problem of automatically updating KGs over…
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Riccardo Orlando, Pere-Lluis Huguet Cabot, Edoardo Barba +1
Entity Linking (EL) and Relation Extraction (RE) are fundamental tasks in Natural Language Processing, serving as critical components in a wide range of applications. In this paper…
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
Luca Moroni, Giovanni Puccetti, Pere-Lluis Huguet Cabot +6
The number of pretrained Large Language Models (LLMs) is increasing steadily, though the majority are designed predominantly for the English language. While state-of-the-art LLMs c…
Word Sense Linking: Disambiguating Outside the Sandbox
Andrei Stefan Bejgu, Edoardo Barba, Luigi Procopio +2
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…