activity
20212026
most citedYes but.. Can ChatGPT Identify Entities in Historical Documents?

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts

Emanuela Boros

Temporal variation poses a unique challenge for named entity recognition (NER) in historical texts, where entities drift in surface form and salience across time. While language mo…

cs.DL2023★ 8 cited

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 Can ChatGPT Identify Entities in Historical Documents?

Carlos-Emiliano González-Gallardo, Emanuela Boros, Nancy Girdhar +3

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

cs.CL2023

Contextualizing Emerging Trends in Financial News Articles

Nhu Khoa Nguyen, Thierry Delahaut, Emanuela Boros +2

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. However, most of t…

cs.CL2021★ 3 cited

Event Detection as Question Answering with Entity Information

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 mul…

cs.CL2021

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

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-graine…