loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Authors: Anas El Ouardi ; Maryem Rhanoui ; Anissa Benlarabi and Bouchra El Asri

Affiliation: IMS Team, ADMIR Laboratory, Rabat IT Center, ENSIAS, Mohammed V University, Rabat, Morocco

Keyword(s): Text Classification, Meta-learning, Few-shot Learning.

Abstract: Text classification is one of the most prolific domains in machine learning. Present in a raw format all around us in our daily life Starting from human to human communication mainly by the social networks apps, arriving at the human-machine interaction especially with chatbots, text is a rich source of information. However, despite the remarkable performances that deep learning achieves in this field, the cost in therm of the amount of data needed to train this model still considerably high, adding to that the need of retraining this model to learn every new task. Nevertheless, a new sub-field of machine learning has emerged, named meta-learning it targets the overcoming of those limitations, widely used for image-related tasks, it can also bring solutions to tasks associated with text. Starting from this perspective we proposed a hybrid architecture based on well- known prototypical networks consisting of adapting this model to text classification and augmenting it with a non-linea r classifier. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.177.24

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
El Ouardi, A.; Rhanoui, M.; Benlarabi, A. and El Asri, B. (2021). Hybrid Prototypical Networks Augmented by a Non-linear Classifier. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8; ISSN 2184-4992, pages 790-794. DOI: 10.5220/0010498307900794

@conference{iceis21,
author={Anas {El Ouardi}. and Maryem Rhanoui. and Anissa Benlarabi. and Bouchra {El Asri}.},
title={Hybrid Prototypical Networks Augmented by a Non-linear Classifier},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={790-794},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010498307900794},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Hybrid Prototypical Networks Augmented by a Non-linear Classifier
SN - 978-989-758-509-8
IS - 2184-4992
AU - El Ouardi, A.
AU - Rhanoui, M.
AU - Benlarabi, A.
AU - El Asri, B.
PY - 2021
SP - 790
EP - 794
DO - 10.5220/0010498307900794

0123movie.net