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 [BibTeX] [Marc21]
Idiap and UAM Participation at MEX-A3T Evaluation Campaign
Type of publication: Conference paper
Citation: VILLATORO-TELLO_IBERIANLANGUAGESEVALUATIONFORUM(IBERLEF2020)_2020
Publication status: Published
Booktitle: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020)
Volume: 2664
Year: 2020
Month: September
Pages: 6
Publisher: CEUR Workshop Proceedings
ISSN: 1613-0073
URL: http://ceur-ws.org/Vol-2664/me...
Abstract: This paper describes our participation in the shared evaluation campaign of MexA3T 2020. Our main goal wasto evaluate a Supervised Autoencoder (SAE) learning algorithm in text classification tasks. For our experiments,we used three different sets of features as inputs, namely classic word n-grams, char n-grams, and Spanish BERTencodings. Our results indicate that SAE is adequate for longer and more formal written texts. Accordingly,our approach obtained the best performance (
Keywords: deep learning, Natural language processing, Supervised Autoencoders, Text Representation
Projects Idiap
Innosuisse-SM2
EC H2020-ROXANNE
Authors VILLATORO-TELLO, Esaú
Ramírez-de-la-Rosa, Gabriela
Parida, Shantipriya
Kumar, Sajit
Motlicek, Petr
Added by: [UNK]
Total mark: 0
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  • VILLATORO-TELLO_IBERIANLANGUAGESEVALUATIONFORUM(IB...
Notes