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pro vyhledávání: '"Pourvali, Mohsen"'
In this paper, we investigate the effectiveness of integrating a hierarchical taxonomy of labels as prior knowledge into the learning algorithm of a flat classifier. We introduce two methods to integrate the hierarchical taxonomy as an explicit regul
Externí odkaz:
http://arxiv.org/abs/2305.16341
Publikováno v:
IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 3, January 2012
The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presen
Externí odkaz:
http://arxiv.org/abs/1203.3586
Autor:
Pourvali Mohsen, Orlando Salvatore
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1109-1121 (2018)
This paper explores a multi-strategy technique that aims at enriching text documents for improving clustering quality. We use a combination of entity linking and document summarization in order to determine the identity of the most salient entities m
Externí odkaz:
https://doaj.org/article/ab17adb90a4f43a29dd9cf506d0e5d02
Autor:
Rui, Yong, Carmona, Vicente Ivan Sanchez, Pourvali, Mohsen, Xing, Yun, Yi, Wei-Wen, Ruan, Hui-Bin, Zhang, Yu
Publikováno v:
Machine Intelligence Research; April 2022, Vol. 19 Issue: 2 p89-114, 26p
Akademický článek
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Autor:
Pourvali, Mohsen, Orlando, Salvatore
Publikováno v:
Journal of Intelligent Systems; Jan2020, Vol. 29 Issue 1, p1109-1121, 13p
Publikováno v:
Information Retrieval Technology: 11th Asia Information Retrieval Societies Conference, AIRS 2015, Brisbane, QLD, Australia, December 2-4, 2015. Proceedings; 2015, p292-303, 12p
Autor:
Pourvali, Mohsen, Orlando, Salvatore
Publikováno v:
Journal of Intelligent Systems; June 2015, Vol. 29 Issue: 1 p1109-1121, 13p