Linking named entities occurring in text to their corresponding entity in a Knowledge Base
(KB) is challenging, especially when dealing with historical texts. In this work, we introduce …

Entity linking methods based on dense retrieval are an efficient and widely used solution in
large-scale applications, but they fall short of the performance of generative models, as they …

This paper presents the development of a Named Entity Linking (NEL) model to the Wikidata
knowledge base for the Serbian language, named SrpCNNeL. The model was trained to …

Entity linking (EL) has attracted attention as a fundamental technology applicable to
question answering and various other applications. State-of-the-art EL studies have focused …

While being one of the most popular question types, simple questions such as “Who is the
author of Cinderella?”, are still not completely solved. Surprisingly, even most powerful …

Entity linking (EL) is the computational process of connecting textual mentions to
corresponding entities. Like many areas of natural language processing, the EL field has …

This paper presents the methodology and outcomes of a Named Entity Recognition and
Linking multilingual news benchmark that leverages both Deep learning approaches by …

In the era of Large Language Models (LLMs), Information Extraction (IE) may seem like a
“Chronicle of a Death Foretold”. Between 2020 and 2023, it ranked among the top three …

I would like to express my sincerest gratitude to my advisors. Armelle Brun, for your
guidance in navigating the complex realm of academia. Julien Tourille, for your guidance …