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        <title>Stacked Sentence-Document Classifier Approach for Improving Native Language Identification</title>
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    <abstract>In this paper, we describe the approach of the ItaliaNLP Lab team to native language identification and discuss the results we submitted as participants to the essay track of NLI Shared Task 2017. We introduce for the first time a 2-stacked sentence-document architecture for native language identification that is able to exploit both local sentence information and a wide set of general-purpose features qualifying the lexical and grammatical structure of the whole document. When evaluated on the official test set, our sentence-document stacked architecture obtained the best result among all the participants of the essay track with an F1 score of 0.8818.</abstract>
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%0 Conference Proceedings
%T Stacked Sentence-Document Classifier Approach for Improving Native Language Identification
%A Cimino, Andrea
%A Dell’Orletta, Felice
%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 cimino-dellorletta-2017-stacked
%X In this paper, we describe the approach of the ItaliaNLP Lab team to native language identification and discuss the results we submitted as participants to the essay track of NLI Shared Task 2017. We introduce for the first time a 2-stacked sentence-document architecture for native language identification that is able to exploit both local sentence information and a wide set of general-purpose features qualifying the lexical and grammatical structure of the whole document. When evaluated on the official test set, our sentence-document stacked architecture obtained the best result among all the participants of the essay track with an F1 score of 0.8818.
%R 10.18653/v1/W17-5049
%U https://aclanthology.org/W17-5049
%U https://doi.org/10.18653/v1/W17-5049
%P 430-437

Markdown (Informal)

[Stacked Sentence-Document Classifier Approach for Improving Native Language Identification](https://aclanthology.org/W17-5049) (Cimino & Dell’Orletta, BEA 2017)

• Stacked Sentence-Document Classifier Approach for Improving Native Language Identification (Cimino & Dell’Orletta, BEA 2017)

ACL

• Andrea Cimino and Felice Dell’Orletta. 2017. Stacked Sentence-Document Classifier Approach for Improving Native Language Identification. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 430–437, Copenhagen, Denmark. Association for Computational Linguistics.