<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wu-shih-2018-short">
    <titleInfo>
        <title>A Short Answer Grading System in Chinese by Support Vector Approach</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Shih-Hung</namePart>
        <namePart type="family">Wu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Wen-Feng</namePart>
        <namePart type="family">Shih</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-07</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>
        <name type="personal">
            <namePart type="given">Yuen-Hsien</namePart>
            <namePart type="family">Tseng</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hsin-Hsi</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Vincent</namePart>
            <namePart type="family">Ng</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mamoru</namePart>
            <namePart type="family">Komachi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Melbourne, Australia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we report a short answer grading system in Chinese. We build a system based on standard machine learning approaches and test it with translated corpus from two publicly available corpus in English. The experiment results show similar results on two different corpus as in English.</abstract>
    <identifier type="citekey">wu-shih-2018-short</identifier>
    <identifier type="doi">10.18653/v1/W18-3718</identifier>
    <location>
        <url>https://aclanthology.org/W18-3718</url>
    </location>
    <part>
        <date>2018-07</date>
        <extent unit="page">
            <start>125</start>
            <end>129</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Short Answer Grading System in Chinese by Support Vector Approach
%A Wu, Shih-Hung
%A Shih, Wen-Feng
%Y Tseng, Yuen-Hsien
%Y Chen, Hsin-Hsi
%Y Ng, Vincent
%Y Komachi, Mamoru
%S Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F wu-shih-2018-short
%X In this paper, we report a short answer grading system in Chinese. We build a system based on standard machine learning approaches and test it with translated corpus from two publicly available corpus in English. The experiment results show similar results on two different corpus as in English.
%R 10.18653/v1/W18-3718
%U https://aclanthology.org/W18-3718
%U https://doi.org/10.18653/v1/W18-3718
%P 125-129

Markdown (Informal)

[A Short Answer Grading System in Chinese by Support Vector Approach](https://aclanthology.org/W18-3718) (Wu & Shih, NLP-TEA 2018)

• A Short Answer Grading System in Chinese by Support Vector Approach (Wu & Shih, NLP-TEA 2018)

ACL

• Shih-Hung Wu and Wen-Feng Shih. 2018. A Short Answer Grading System in Chinese by Support Vector Approach. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 125–129, Melbourne, Australia. Association for Computational Linguistics.