%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Callejas-Hernandez_IBERLEF2022_2022,
         author = {Callejas-Hern{\'{a}}ndez, Cipriano and Rivadeneira-P{\'{e}}rez, Erika and S{\'{a}}nchez-Vega, Fernando and L{\'{o}}pez-Monroy, A. Pastor and VILLATORO-TELLO, Esa{\'{u}}},
       keywords = {Bag OF Words, BERT, Mexican Tourist Text, Recommendation System, Sentiment Analysis, Text Information Organization Schemes},
          month = sep,
          title = {The Winning Approach for the Recommendation Systems Shared Task @REST_MEX 2022},
      booktitle = {Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022)},
         volume = {3202},
           year = {2022},
            url = {http://ceur-ws.org/Vol-3202/restmex-paper1.pdf},
       abstract = {This paper presents our approaches for the Recommendation System and Sentiment Analysis shared
tasks at Rest-Mex 2022. In the first task, the dataset presented a number of challenges, which we
overcome by exploring information organization schemes and traditional data representation. For
opinion classification in the case of Sentiment Analysis we found that state-of-the-art pre-trained models
by adapting two Bert-based approaches get an acceptable performance. With these two approaches we
were able to reach the first place in the recommendation system task while our simple adaptation of
state-of-the-art for the sentiment analysis task got a very competitive performance, only 0.58\% below
the winning approach},
            pdf = {https://publications.idiap.ch/attachments/papers/2022/Callejas-Hernandez_IBERLEF2022_2022.pdf}
}