@inproceedings{zhao-etal-2018-contextualized,
title = "Contextualized Character Representation for {C}hinese Grammatical Error Diagnosis",
author = "Zhao, Jianbo and
Li, Si and
Lin, Zhiqing",
booktitle = "Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-3725",
doi = "10.18653/v1/W18-3725",
pages = "172--179",
abstract = "Nowadays, more and more people are learning Chinese as their second language. Establishing an automatic diagnosis system for Chinese grammatical error has become an important challenge. In this paper, we propose a Chinese grammatical error diagnosis (CGED) model with contextualized character representation. Compared to the traditional model using LSTM (Long-Short Term Memory), our model have better performance and there is no need to add too many artificial features.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="zhao-etal-2018-contextualized">
<titleInfo>
<title>Contextualized Character Representation for Chinese Grammatical Error Diagnosis</title>
</titleInfo>
<name type="personal">
<namePart type="given">Jianbo</namePart>
<namePart type="family">Zhao</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Si</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zhiqing</namePart>
<namePart type="family">Lin</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018-jul</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications</title>
</titleInfo>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Melbourne, Australia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Nowadays, more and more people are learning Chinese as their second language. Establishing an automatic diagnosis system for Chinese grammatical error has become an important challenge. In this paper, we propose a Chinese grammatical error diagnosis (CGED) model with contextualized character representation. Compared to the traditional model using LSTM (Long-Short Term Memory), our model have better performance and there is no need to add too many artificial features.</abstract>
<identifier type="citekey">zhao-etal-2018-contextualized</identifier>
<identifier type="doi">10.18653/v1/W18-3725</identifier>
<location>
<url>https://aclanthology.org/W18-3725</url>
</location>
<part>
<date>2018-jul</date>
<extent unit="page">
<start>172</start>
<end>179</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Contextualized Character Representation for Chinese Grammatical Error Diagnosis
%A Zhao, Jianbo
%A Li, Si
%A Lin, Zhiqing
%S Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2018
%8 jul
%I Association for Computational Linguistics
%C Melbourne, Australia
%F zhao-etal-2018-contextualized
%X Nowadays, more and more people are learning Chinese as their second language. Establishing an automatic diagnosis system for Chinese grammatical error has become an important challenge. In this paper, we propose a Chinese grammatical error diagnosis (CGED) model with contextualized character representation. Compared to the traditional model using LSTM (Long-Short Term Memory), our model have better performance and there is no need to add too many artificial features.
%R 10.18653/v1/W18-3725
%U https://aclanthology.org/W18-3725
%U https://doi.org/10.18653/v1/W18-3725
%P 172-179
Markdown (Informal)
[Contextualized Character Representation for Chinese Grammatical Error Diagnosis](https://aclanthology.org/W18-3725) (Zhao et al., 2018)
ACL