Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Mendes, Pablo N."'
Publikováno v:
CIKM MMSR 2024
Large Language Models (LLMs) have demonstrated potential as effective search relevance evaluators. However, there is a lack of comprehensive guidance on which models consistently perform optimally across various contexts or within specific use cases.
Externí odkaz:
http://arxiv.org/abs/2410.19974
Over the years, Twitter has become one of the largest communication platforms providing key data to various applications such as brand monitoring, trend detection, among others. Entity linking is one of the major tasks in natural language understandi
Externí odkaz:
http://arxiv.org/abs/1707.08470
Autor:
Mendes, Pablo N.
The recent years have seen an increase in interest for knowledge repositories that are useful across applications, in contrast to the creation of ad hoc or application-specific databases.These knowledge repositories figure as a central provider of un
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1401665504
Autor:
Erp, Marieke, Mendes, Pablo N., Heiko Paulheim, Ilievski, Filip, Plu, Julien, Rizzo, Giuseppe, Waitelonis, Jörg
Publikováno v:
LREC
Scopus-Elsevier
MADOC-University of Mannheim
van Erp, M G J, Mendes, P, Paulheim, H, Ilievski, F, Plu, J, Rizzo, G & Waitelonis, J 2016, ' Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job ', Paper presented at LREC, 1/01/16-1/01/16 .
Scopus-Elsevier
MADOC-University of Mannheim
van Erp, M G J, Mendes, P, Paulheim, H, Ilievski, F, Plu, J, Rizzo, G & Waitelonis, J 2016, ' Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job ', Paper presented at LREC, 1/01/16-1/01/16 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::74fcfd86a2ac0a706be65e7afeb4a5a0
https://hdl.handle.net/1871.1/1c2cdd95-0135-4387-ad7e-6f05a594acef
https://hdl.handle.net/1871.1/1c2cdd95-0135-4387-ad7e-6f05a594acef
Autor:
Diego Esteves, Mendes, Pablo N., Diego Moussallem, Julio Cesar Duarte, Amrapali Zaveri, Jens Lehmann, Ciro Baron Neto, Igor Costa, Maria Claudia Cavalcanti
Publikováno v:
12th International Conference on Semantic Systems
Proceedings of the 12th International Conference on Semantic Systems-SEMANTiCS 2016
SEMANTICS
Maastricht University
Proceedings of the 12th International Conference on Semantic Systems-SEMANTiCS 2016
SEMANTICS
Maastricht University
Despite recent efforts to achieve a high level of interoperability of Machine Learning (ML) experiments, positively collaborating with the Reproducible Research context, we still run into problems created due to the existence of different ML platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5664042d2070a67e6efc8d288c2e01e3
https://cris.maastrichtuniversity.nl/en/publications/1a74d77d-bd4e-466e-9b4c-5a4b68104a0e
https://cris.maastrichtuniversity.nl/en/publications/1a74d77d-bd4e-466e-9b4c-5a4b68104a0e
Publikováno v:
Semantic Web. Latest Advances & New Domains (9783319341286); 2016, p118-132, 15p
Akademický článek
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Autor:
Mendes, Pablo N., Gruhl, Daniel, Drews, Clemens, Kau, Chris, Lewis, Neal, Nagarajan, Meena, Alba, Alfredo, Welch, Steve
Publikováno v:
Web Information Systems Engineering - WISE 2014: 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part II; 2014, p17-31, 15p
Autor:
Coden, Anni, Gruhl, Dan, Lewis, Neal, Mendes, Pablo N., Nagarajan, Meena, Ramakrishnan, Cartic, Welch, Steve
Publikováno v:
Semantic Web Evaluation Challenge; 2014, p34-40, 7p