Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Noureddine En-Nahnahi"'
Autor:
Hamza Alami, Abdelkader El Mahdaouy, Abdessamad Benlahbib, Noureddine En-Nahnahi, Ismail Berrada, Said El Alaoui Ouatik
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101709- (2023)
As of late, various deep learning techniques and methods have shown their superiority to feature-based and shallow learning techniques in the field of open-domain question–answering systems (OpenQAS). However, only a few works adopted these techniq
Externí odkaz:
https://doaj.org/article/bf0d2829c7cf48af8d05633e85cc70d3
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3758-3765 (2022)
Question Answering Systems (QAS) are rising solutions providing exact and precise answers to natural questions. Duplicate Question Detection (DQD), which aims to reuse previous answers, has shown its ability to improve user experience and reduce sign
Externí odkaz:
https://doaj.org/article/cffa4bfd44344759861df1c106d9f163
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 2, Pp 218-224 (2021)
The unability of search engines to retrieve precise answer for a given question leads research teams to build question answering systems (QAS). These systems provide exact answers of questions formulated in natural languages. Question classification
Externí odkaz:
https://doaj.org/article/8508f5511c8b4e42a5baae81c8477766
Publikováno v:
Journal of ICT, Vol 19, Iss 3, Pp 381-398 (2020)
Arabic text representation is a challenging assignment for several applications such as text categorization and clustering since the Arabic language is known for its variety, richness and complex morphology. Until recently, the Bag-of-Words remains t
Externí odkaz:
https://doaj.org/article/33a784cd229f41e08d0ebc707b02e5b4
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 6048-6056 (2022)
Offensive communications have invaded social media content. One of the most effective solutions to cope with this problem is using computational techniques to discriminate offensive content. Moreover, social media users are from linguistically differ
Externí odkaz:
https://doaj.org/article/b073900c393149ba98db40c9f2c14123
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:8422-8428
Despite that pre-trained word embedding models have advanced a wide range of natural language processing applications, they ignore the contextual information and meaning within the text. In this paper, we investigate the potential of the pre-trained
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6048-6056
Offensive communications have invaded social media content. One of the most effective solutions to cope with this problem is using computational techniques to discriminate offensive content. Moreover, social media users are from linguistically differ
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:3758-3765
Question Answering Systems (QAS) are rising solutions providing exact and precise answers to natural questions. Duplicate Question Detection (DQD), which aims to reuse previous answers, has shown its ability to improve user experience and reduce sign
Autor:
Yassine El Adlouni, Nabil Alami, Horacio Rodríguez, Said Ouatik El Alaoui, Mohammed Meknassi, Noureddine En-Nahnahi
Publikováno v:
International Journal of Intelligent Information Technologies. 17:13-29
Community question answering has become increasingly important as they are practical for seeking and sharing information. Applying deep learning models often leads to good performance, but it requires an extensive amount of annotated data, a problem
Autor:
Nabil Burmani, Hamza Alami, Said Lafkiar, Mohamed Zouitni, Mohammed Taleb, Noureddine En Nahnahi
Publikováno v:
2022 International Conference on Intelligent Systems and Computer Vision (ISCV).