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pro vyhledávání: '"Hasan, Rakebul"'
Large Language Models (LLMs) have provided a new pathway for Named Entity Recognition (NER) tasks. Compared with fine-tuning, LLM-powered prompting methods avoid the need for training, conserve substantial computational resources, and rely on minimal
Externí odkaz:
http://arxiv.org/abs/2407.08035
Specialized transformer-based models for encoding tabular data have gained interest in academia. Although tabular data is omnipresent in industry, applications of table transformers are still missing. In this paper, we study how these models can be a
Externí odkaz:
http://arxiv.org/abs/2209.14812
Autor:
Hasan, Rakebul
Prédire les performances des requêtes et expliquer les résultats pour assister la consommation de données liées. Notre objectif est d'aider les utilisateurs à comprendre les performances d'interrogation SPARQL, les résultats de la requête, et
Externí odkaz:
http://www.theses.fr/2014NICE4082/document
Autor:
Hasan, Rakebul
Publikováno v:
Other [cs.OH]. Université Nice Sophia Antipolis, 2014. English. ⟨NNT : 2014NICE4082⟩
Our goal is to assist users in understanding SPARQL query performance, query results, and derivations on Linked Data. To help users in understanding query performance, we provide query performance predictions based on the query execution history. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f0d63ab6a7876807385c0db3e22733bb
https://tel.archives-ouvertes.fr/tel-01127124/document
https://tel.archives-ouvertes.fr/tel-01127124/document
Autor:
Hasan, Rakebul, Gandon, Fabien
Publikováno v:
Semantic Web: ESWC 2014 Satellite Events; 2014, p222-225, 4p
Autor:
Hasan, Rakebul, Gandon, Fabien
Publikováno v:
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) & Intelligent Agent Technologies (IAT); 2014, p266-273, 8p
Autor:
Hasan, Rakebul
Publikováno v:
Semantic Web: Trends & Challenges; 2014, p795-805, 11p
Autor:
Hasan, Rakebul
Publikováno v:
Semantic Web: Trends & Challenges; 2014, p473-487, 15p
Autor:
Hasan, Rakebul, Gandon, Fabien
Publikováno v:
Proceedings of the 21st International Conference Companion World Wide Web; 4/16/2012, p1083-1090, 8p
Autor:
Rospocher, Marco, Eccher, Claudio, Ghidini, Chiara, Hasan, Rakebul, Seyfang, Andreas, Ferro, Antonella, Miksch, Silvia
Publikováno v:
Electronic Healthcare (9783642236341); 2012, p135-143, 9p