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Name Nationality Classification with Recurrent Neural Networks
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- Jinhyuk Lee
- Korea University
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- Hyunjae Kim
- Sogang University
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- Miyoung Ko
- Korea University
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- Donghee Choi
- Konolabs, Inc.
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- Jaehoon Choi
- Konolabs, Inc.
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- Jaewoo Kang
- Korea University
Description
<jats:p>Personal names tend to have many variations differing from country to country. Though there exists a large amount of personal names on the Web, nationality prediction solely based on names has not been fully studied due to its difficulties in extracting subtle character level features. We propose a recurrent neural network based model which predicts nationalities of each name using automatic feature extraction. Evaluation of Olympic record data shows that our model achieves greater accuracy than previous feature based approaches in nationality prediction tasks. We also evaluate our proposed model and baseline models on name ethnicity classification task, again achieving better or comparable performances. We further investigate the effectiveness of character embeddings used in our proposed model.</jats:p>
Journal
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- Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence 2081-2087, 2017-08
International Joint Conferences on Artificial Intelligence Organization
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Details 詳細情報について
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- CRID
- 1362825896086571520
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- Data Source
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- Crossref
- OpenAIRE