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: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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