Papers with Albanian masked language trained model

1 papers
RoBERTa Low Resource Fine Tuning for Sentiment Analysis in Albanian (2024.lrec-main)

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Challenge: Recent advances in the education domain have provided new opportunities for solving interesting, but difficult problems.
Approach: They propose to use EduSenti to fine-tune language models for assigning sentiment to reviews of educators' performance annotated for sentiment, emotion and educational topic.
Outcome: The proposed model is compared with an Albanian masked language trained model from the last XLM-RoBERTa checkpoint and shows that it is a good fit for the proposed model.

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