157 citations · 188 across the 6 of their papers we have counts for
6 papers
Named entity recognition architecture combining contextual and global features
Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere +2
Named entity recognition (NER) is an information extraction technique that aims to locate and classify named entities (e.g., organizations, locations,...) within a document into pr…
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes +2
After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts. While this represent…
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…
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…
AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture
Cong Tri Pham, Mai Chi Luong, Dung Van Hoang +1
Melanoma, one of most dangerous types of skin cancer, re-sults in a very high mortality rate. Early detection and resection are two key points for a successful cure. Recent researc…
Applying Semantic Web Technologies for Improving the Visibility of Tourism Data
Fayrouz Soualah-Alila, Cyril Faucher, Frédéric Bertrand +2
Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of informa…