The Winning Approach for the Recommendation Systems Shared Task @REST_MEX 2022
| Type of publication: | Conference paper |
| Citation: | Callejas-Hernandez_IBERLEF2022_2022 |
| Booktitle: | Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) |
| Volume: | 3202 |
| Year: | 2022 |
| Month: | September |
| URL: | http://ceur-ws.org/Vol-3202/re... |
| 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 |
| Keywords: | Bag OF Words, BERT, Mexican Tourist Text, Recommendation System, Sentiment Analysis, Text Information Organization Schemes |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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