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        <title>CLUF: a Neural Model for Second Language Acquisition Modeling</title>
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        <namePart type="given">Shuyao</namePart>
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            <title>Proceedings of the Thirteenth 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">Ekaterina</namePart>
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    <abstract>Second Language Acquisition Modeling is the task to predict whether a second language learner would respond correctly in future exercises based on their learning history. In this paper, we propose a neural network based system to utilize rich contextual, linguistic and user information. Our neural model consists of a Context encoder, a Linguistic feature encoder, a User information encoder and a Format information encoder (CLUF). Furthermore, a decoder is introduced to combine such encoded features and make final predictions. Our system ranked in first place in the English track and second place in the Spanish and French track with an AUROC score of 0.861, 0.835 and 0.854 respectively.</abstract>
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%0 Conference Proceedings
%T CLUF: a Neural Model for Second Language Acquisition Modeling
%A Xu, Shuyao
%A Chen, Jin
%A Qin, Long
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F xu-etal-2018-cluf
%X Second Language Acquisition Modeling is the task to predict whether a second language learner would respond correctly in future exercises based on their learning history. In this paper, we propose a neural network based system to utilize rich contextual, linguistic and user information. Our neural model consists of a Context encoder, a Linguistic feature encoder, a User information encoder and a Format information encoder (CLUF). Furthermore, a decoder is introduced to combine such encoded features and make final predictions. Our system ranked in first place in the English track and second place in the Spanish and French track with an AUROC score of 0.861, 0.835 and 0.854 respectively.
%R 10.18653/v1/W18-0546
%U https://aclanthology.org/W18-0546/
%U https://doi.org/10.18653/v1/W18-0546
%P 374-380

Markdown (Informal)

[CLUF: a Neural Model for Second Language Acquisition Modeling](https://aclanthology.org/W18-0546/) (Xu et al., BEA 2018)

• CLUF: a Neural Model for Second Language Acquisition Modeling (Xu et al., BEA 2018)

ACL

• Shuyao Xu, Jin Chen, and Long Qin. 2018. CLUF: a Neural Model for Second Language Acquisition Modeling. In Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 374–380, New Orleans, Louisiana. Association for Computational Linguistics.