@inproceedings{chen-etal-2019-learning-link,
title = "Learning to Link Grammar and Encyclopedic Information of Assist {ESL} Learners",
author = "Chen, Jhih-Jie and
Yang, Chingyu and
Ho, Peichen and
Tsai, Ming Chiao and
Ho, Chia-Fang and
Tuan, Kai-Wen and
Tsai, Chung-Ting and
Han, Wen-Bin and
Chang, Jason",
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3034",
doi = "10.18653/v1/P19-3034",
pages = "213--218",
abstract = "We introduce a system aimed at improving and expanding second language learners{'} English vocabulary. In addition to word definitions, we provide rich lexical information such as collocations and grammar patterns for target words. We present Linggle Booster that takes an article, identifies target vocabulary, provides lexical information, and generates a quiz on target words. Linggle Booster also links named-entity to corresponding Wikipedia pages. Evaluation on a set of target words shows that the method have reasonably good performance in terms of generating useful and information for learning vocabulary.",
}
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%0 Conference Proceedings
%T Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners
%A Chen, Jhih-Jie
%A Yang, Chingyu
%A Ho, Peichen
%A Tsai, Ming Chiao
%A Ho, Chia-Fang
%A Tuan, Kai-Wen
%A Tsai, Chung-Ting
%A Han, Wen-Bin
%A Chang, Jason
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F chen-etal-2019-learning-link
%X We introduce a system aimed at improving and expanding second language learners’ English vocabulary. In addition to word definitions, we provide rich lexical information such as collocations and grammar patterns for target words. We present Linggle Booster that takes an article, identifies target vocabulary, provides lexical information, and generates a quiz on target words. Linggle Booster also links named-entity to corresponding Wikipedia pages. Evaluation on a set of target words shows that the method have reasonably good performance in terms of generating useful and information for learning vocabulary.
%R 10.18653/v1/P19-3034
%U https://aclanthology.org/P19-3034
%U https://doi.org/10.18653/v1/P19-3034
%P 213-218
Markdown (Informal)
[Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners](https://aclanthology.org/P19-3034) (Chen et al., ACL 2019)
ACL
- Jhih-Jie Chen, Chingyu Yang, Peichen Ho, Ming Chiao Tsai, Chia-Fang Ho, Kai-Wen Tuan, Chung-Ting Tsai, Wen-Bin Han, and Jason Chang. 2019. Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 213–218, Florence, Italy. Association for Computational Linguistics.