Papers by Toni Badia
MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification (L18-1)
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| Challenge: | sentiment analysis research has focused on unsupervised or semi-supervised approaches, but these still require a large number of resources and do not reach the performance of supervised approaches. |
| Approach: | They propose two datasets for supervised aspect-level sentiment analysis in Basque and Catalan. |
| Outcome: | The proposed datasets are based on two under-resourced languages, basque and catalan. |
Evaluating morphological typology in zero-shot cross-lingual transfer (2021.acl-long)
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| Challenge: | morphological typology has been used to improve cross-lingual transfer . however, some language families and typologies consistently perform worse . |
| Approach: | They examine effects of morphological typology on zero-shot cross-lingual transfer . they perform part-of-speech tagging and sentiment analysis on 19 languages . |
| Outcome: | The proposed model improves on fusional and introflexive languages, but some language families and typologies perform worse. |
Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis (P19-2)
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| Challenge: | End-to-end deep learning systems lack flexibility as one cannot adjust the network to fix an obvious problem. |
| Approach: | They propose a way to leverage lexicon information to make the model more flexible . they also explore the effect of regularizing attention vectors to allow the network to have a broader "focus" |
| Outcome: | The proposed approach leverages lexicon information to make it more flexible and robust. |