Search Results for author: Emanuela Boros

Found 12 papers, 5 papers with code

Fine-tuning de modèles de langues pour la veille épidémiologique multilingue avec peu de ressources (Fine-tuning Language Models for Low-resource Multilingual Epidemic Surveillance)

no code implementations JEP/TALN/RECITAL 2022 Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Adam Jatowt, Gaël Lejeune, Moses Odeo

Dans cet article, nous explorons plusieurs hypothèses concernant les facteurs qui pourraient avoir une influence sur les performances d’un système d’extraction d’événements épidémiologiques dans un scénario multilingue à faibles ressources : le type de modèle pré-entraîné, la qualité du tokenizer ainsi que les caractéristiques des entités à extraire.

L’importance des entités pour la tâche de détection d’événements en tant que système de question-réponse (Exploring Entities in Event Detection as Question Answering)

no code implementations JEP/TALN/RECITAL 2022 Emanuela Boros, Jose Moreno, Antoine Doucet

Dans cet article, nous abordons un paradigme récent et peu étudié pour la tâche de détection d’événements en la présentant comme un problème de question-réponse avec possibilité de réponses multiples et le support d’entités.

Event Detection Question Answering

Yes but.. Can ChatGPT Identify Entities in Historical Documents?

1 code implementation30 Mar 2023 Carlos-Emiliano González-Gallardo, Emanuela Boros, Nancy Girdhar, Ahmed Hamdi, Jose G. Moreno, Antoine Doucet

Large language models (LLMs) have been leveraged for several years now, obtaining state-of-the-art performance in recognizing entities from modern documents.

named-entity-recognition Named Entity Recognition +1

Contextualizing Emerging Trends in Financial News Articles

1 code implementation20 Jan 2023 Nhu Khoa Nguyen, Thierry Delahaut, Emanuela Boros, Antoine Doucet, Gaël Lejeune

Identifying and exploring emerging trends in the news is becoming more essential than ever with many changes occurring worldwide due to the global health crises.

Event Detection as Question Answering with Entity Information

1 code implementation14 Apr 2021 Emanuela Boros, Jose G. Moreno, Antoine Doucet

In this paper, we propose a recent and under-researched paradigm for the task of event detection (ED) by casting it as a question-answering (QA) problem with the possibility of multiple answers and the support of entities.

Event Detection Language Modelling +1

Transformer-based Methods for Recognizing Ultra Fine-grained Entities (RUFES)

no code implementations13 Apr 2021 Emanuela Boros, Antoine Doucet

This paper summarizes the participation of the Laboratoire Informatique, Image et Interaction (L3i laboratory) of the University of La Rochelle in the Recognizing Ultra Fine-grained Entities (RUFES) track within the Text Analysis Conference (TAC) series of evaluation workshops.

Language Modelling

Multilingual Epidemiological Text Classification: A Comparative Study

no code implementations COLING 2020 Stephen Mutuvi, Emanuela Boros, Antoine Doucet, Adam Jatowt, Ga{\"e}l Lejeune, Moses Odeo

We conduct a comparative study of different machine and deep learning text classification models using a dataset comprising news articles related to epidemic outbreaks from six languages, four low-resourced and two high-resourced, in order to analyze the influence of the nature of the language, the structure of the document, and the size of the data.

Multilingual text classification text-classification +1

Alleviating Digitization Errors in Named Entity Recognition for Historical Documents

1 code implementation CONLL 2020 Emanuela Boros, Ahmed Hamdi, Elvys Linhares Pontes, Luis Adri{\'a}n Cabrera-Diego, Jose G. Moreno, Nicolas Sidere, Antoine Doucet

This paper tackles the task of named entity recognition (NER) applied to digitized historical texts obtained from processing digital images of newspapers using optical character recognition (OCR) techniques.

named-entity-recognition Named Entity Recognition +3

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