Papers by Enkhbold Bataa

1 papers
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese (P19-1)

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Challenge: Text-based transfer learning techniques can be used to perform downstream tasks.
Approach: They propose to use text-based transfer learning techniques to pre-train a language model in an unsupervised manner and leverage them to perform effective on downstream tasks.
Outcome: The proposed model performs better than task-specific models trained on 3 times as much data and is as effective for language modeling pre-trained on 1/30 of the data.

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