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        <title>A Shallow Neural Network for Native Language Identification with Character N-grams</title>
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        <namePart type="given">Muhammad</namePart>
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            <title>Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications</title>
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            <namePart type="given">Joel</namePart>
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            <namePart type="given">Jill</namePart>
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    <abstract>This paper describes the systems submitted by GadjahMada team to the Native Language Identification (NLI) Shared Task 2017. Our models used a continuous representation of character n-grams which are learned jointly with feed-forward neural network classifier. Character n-grams have been proved to be effective for style-based identification tasks including NLI. Results on the test set demonstrate that the proposed model performs very well on essay and fusion tracks by obtaining more than 0.8 on both F-macro score and accuracy.</abstract>
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%0 Conference Proceedings
%T A Shallow Neural Network for Native Language Identification with Character N-grams
%A Sari, Yunita
%A Rifqi Fatchurrahman, Muhammad
%A Dwiastuti, Meisyarah
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F sari-etal-2017-shallow
%X This paper describes the systems submitted by GadjahMada team to the Native Language Identification (NLI) Shared Task 2017. Our models used a continuous representation of character n-grams which are learned jointly with feed-forward neural network classifier. Character n-grams have been proved to be effective for style-based identification tasks including NLI. Results on the test set demonstrate that the proposed model performs very well on essay and fusion tracks by obtaining more than 0.8 on both F-macro score and accuracy.
%R 10.18653/v1/W17-5027
%U https://aclanthology.org/W17-5027/
%U https://doi.org/10.18653/v1/W17-5027
%P 249-254

Markdown (Informal)

[A Shallow Neural Network for Native Language Identification with Character N-grams](https://aclanthology.org/W17-5027/) (Sari et al., BEA 2017)

• A Shallow Neural Network for Native Language Identification with Character N-grams (Sari et al., BEA 2017)

ACL

• Yunita Sari, Muhammad Rifqi Fatchurrahman, and Meisyarah Dwiastuti. 2017. A Shallow Neural Network for Native Language Identification with Character N-grams. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 249–254, Copenhagen, Denmark. Association for Computational Linguistics.