Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding
Knowledge Graphs (KGs) have revolutionized knowledge representation, enabling a graph-
structured framework where entities and their interrelations are systematically organized …
structured framework where entities and their interrelations are systematically organized …
Geo-parsing and Analysis of Road Traffic Crash Incidents for Data-Driven Emergency Response Planning
Road traffic crashes (RTCs) are a major public health concern worldwide, particularly in
Nigeria, where road transport is the most common mode of transportation. This study …
Nigeria, where road transport is the most common mode of transportation. This study …
Geo-parsing and Geo-Visualization of Road Traffic Crash Incident Locations from Print Media for Emergency Response and Planning
PO Idakwo, O Adekanmbi, A Soronnadi… - 5th Workshop on African … - openreview.net
Road traffic crashes (RTC) are a major public health concern across the globe, particularly
in Nigeria where road transport is the most common mode of transportation. In this paper, we …
in Nigeria where road transport is the most common mode of transportation. In this paper, we …
[PDF][PDF] MESURER LES RISQUES DE DISCRIMINATION DANS UNE TÂCHE DE DÉTECTION D'ENTITÉS NOMMÉES
H de Mazancourt, F Loshouarn… - Ethics and NLP: 10 years …, 2024 - members.loria.fr
La reconnaissance d'entités nommées (NER) est une tâche classique en NLP, parfois
sujette à des biais liés au corpus d'apprentissage [4],[3] complexes à mesurer [1],[2]. Nous …
sujette à des biais liés au corpus d'apprentissage [4],[3] complexes à mesurer [1],[2]. Nous …