Name nationality classification with recurrent neural networks

Jinhyuk Lee, Hyunjae Kim, Miyoung Ko, Donghee Choi, Jaehoon Choi, Jaewoo Kang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    EditorsCarles Sierra
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages2081-2087
    Number of pages7
    ISBN (Electronic)9780999241103
    DOIs
    Publication statusPublished - 2017
    Event26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia
    Duration: 2017 Aug 192017 Aug 25

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    Volume0
    ISSN (Print)1045-0823

    Other

    Other26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period17/8/1917/8/25

    ASJC Scopus subject areas

    • Artificial Intelligence

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