<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kajiwara-fujita-2017-semantic">
    <titleInfo>
        <title>Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Tomoyuki</namePart>
        <namePart type="family">Kajiwara</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Atsushi</namePart>
        <namePart type="family">Fujita</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Greg</namePart>
            <namePart type="family">Kondrak</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Taro</namePart>
            <namePart type="family">Watanabe</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Asian Federation of Natural Language Processing</publisher>
            <place>
                <placeTerm type="text">Taipei, Taiwan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper examines the usefulness of semantic features based on word alignments for estimating the quality of text simplification. Specifically, we introduce seven types of alignment-based features computed on the basis of word embeddings and paraphrase lexicons. Through an empirical experiment using the QATS dataset, we confirm that we can achieve the state-of-the-art performance only with these features.</abstract>
    <identifier type="citekey">kajiwara-fujita-2017-semantic</identifier>
    <location>
        <url>https://aclanthology.org/I17-2019/</url>
    </location>
    <part>
        <date>2017-11</date>
        <extent unit="page">
            <start>109</start>
            <end>115</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification
%A Kajiwara, Tomoyuki
%A Fujita, Atsushi
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F kajiwara-fujita-2017-semantic
%X This paper examines the usefulness of semantic features based on word alignments for estimating the quality of text simplification. Specifically, we introduce seven types of alignment-based features computed on the basis of word embeddings and paraphrase lexicons. Through an empirical experiment using the QATS dataset, we confirm that we can achieve the state-of-the-art performance only with these features.
%U https://aclanthology.org/I17-2019/
%P 109-115

Markdown (Informal)

[Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification](https://aclanthology.org/I17-2019/) (Kajiwara & Fujita, IJCNLP 2017)

• Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification (Kajiwara & Fujita, IJCNLP 2017)

ACL

• Tomoyuki Kajiwara and Atsushi Fujita. 2017. Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 109–115, Taipei, Taiwan. Asian Federation of Natural Language Processing.