Papers by Tetsuo Shibuya
Developing Language Resources and NLP Tools for the North Korean Language (2022.lrec-1)
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| Challenge: | There are no linguistic sources for the North Korean language, resulting in a lack of a Korean language model. |
| Approach: | They present a large-scale dataset for the North Korean language and annotate a subset of this dataset for a sentiment analysis task. |
| Outcome: | The proposed model performs better than other models for masked language modeling and sentiment analysis tasks. |