Accueil > Espace de travail > Flux HAL > HAL L3i
https://hal.archives-ouvertes.fr/rss.php?lab=EA2118
Articles
-
[hal-04746746] CoastTerm : A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature
21 octobre, par ano.nymous@ccsd.cnrs.fr.invalid (Julien Delaunay), Julien DelaunayThe growing impact of climate change on coastal areas, particularly active but fragile regions, necessitates collaboration among diverse stakeholders and disciplines to formulate effective environmental protection policies. We introduce a novel specialized corpus comprising 2,491 sentences from (…) -
[hal-04742439] Is Prompting What Term Extraction Needs ?
17 octobre, par ano.nymous@ccsd.cnrs.fr.invalid (Hanh Thi Hong Tran), Hanh Thi Hong TranAutomatic term extraction (ATE) is a natural language processing (NLP) task that reduces the effort of manually identifying terms from domain-specific corpora by providing a list of candidate terms. This paper summarizes our research on the applicability of open and closedsourced large language (…) -
[hal-04739459] CheckScan : A Reference Hashing for Identity Document Quality Detection
16 octobre, par ano.nymous@ccsd.cnrs.fr.invalid (Musab Al-Ghadi), Musab Al-GhadiOne of important challenges in the document liveness detection process for identity document verification is quality verification. To tackle this challenge, this paper proposes a reference hashing approach to discriminate between the original template of the identity document image and the scan (…) -
[ird-04731400] Low Cost Real Time Complex Event Processing And Stream Reasoning System
10 octobre, par ano.nymous@ccsd.cnrs.fr.invalid (Laty Ndiaye Mouhamet), Laty Ndiaye MouhametIn IoT applications, data are continuously generated and must be processed in real-time to react to state changing in the environment where devices are deployed. Processing data as generated from sources is inefficient because of the low level of data. In this paper, we propose a generic Complex (…) -
[hal-04725787] DiCoP project and DiCoP-Text corpus for the enrichment of Language Models and Automatic Translation
8 octobre, par ano.nymous@ccsd.cnrs.fr.invalid (Lian Chen), Lian Chen[...]