TY  - Type of reference 
TI  - A study of the influence of textual representation on event detection in data streams 
AU  - Elliot MAÎTRE
 
AU  - Max CHEVALIER
 
AU  - Bernard DOUSSET
 
AU  - Jean-Philippe GITTO
 
AU  - Olivier TESTE 
AB  - Detection of real-world events using online data sources is a trending topic in the information retrieval domain. Multiple data sources are potentially of interest and some of them are data streams. There are multiple data sources that are potentially interesting, and some of them are textual data streams, structured or unstructured. We propose to analyse the problem of event detection from text data stream and to focus particularly on the importance of the representation of the textual data. To do so, we compare multiple approaches in different contexts: supervised and unsupervised. We focus on the performances of Transformer-based architectures for event detection on short text documents, and we conclude that, contrary to previous studies, these architectures can be competitive compared to classical methods. 
DO  - 10.21494/ISTE.OP.2024.1139 
JF  - Open Journal in Information Systems Engineering 
KW  - Information Retrieval, Event Detection, Natural Language Processing, Clustering, Recherche d’Information, Détection d’évènements, Traitement automatique du langage naturel, Partitionnement de données,  
L1  - https://openscience.fr/IMG/pdf/iste_roisi24v4nspe_3.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2024/04/10 
SN  - 2634-1468 
TT  - Étude de l’influence des représentations textuelles sur la détection d’évènements dans des flux de données 
UR  - https://openscience.fr/A-study-of-the-influence-of-textual-representation-on-event-detection-in-data 
IS  - Special Issue 
VL  - 4 
ER  -