<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yimam-etal-2017-cwig3g2">
    <titleInfo>
        <title>CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Seid</namePart>
        <namePart type="given">Muhie</namePart>
        <namePart type="family">Yimam</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sanja</namePart>
        <namePart type="family">Štajner</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Martin</namePart>
        <namePart type="family">Riedl</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chris</namePart>
        <namePart type="family">Biemann</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>Complex word identification (CWI) is an important task in text accessibility. However, due to the scarcity of CWI datasets, previous studies have only addressed this problem on Wikipedia sentences and have solely taken into account the needs of non-native English speakers. We collect a new CWI dataset (CWIG3G2) covering three text genres News, WikiNews, and Wikipedia) annotated by both native and non-native English speakers. Unlike previous datasets, we cover single words, as well as complex phrases, and present them for judgment in a paragraph context. We present the first study on cross-genre and cross-group CWI, showing measurable influences in native language and genre types.</abstract>
    <identifier type="citekey">yimam-etal-2017-cwig3g2</identifier>
    <location>
        <url>https://aclanthology.org/I17-2068</url>
    </location>
    <part>
        <date>2017-11</date>
        <extent unit="page">
            <start>401</start>
            <end>407</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups
%A Yimam, Seid Muhie
%A Štajner, Sanja
%A Riedl, Martin
%A Biemann, Chris
%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 yimam-etal-2017-cwig3g2
%X Complex word identification (CWI) is an important task in text accessibility. However, due to the scarcity of CWI datasets, previous studies have only addressed this problem on Wikipedia sentences and have solely taken into account the needs of non-native English speakers. We collect a new CWI dataset (CWIG3G2) covering three text genres News, WikiNews, and Wikipedia) annotated by both native and non-native English speakers. Unlike previous datasets, we cover single words, as well as complex phrases, and present them for judgment in a paragraph context. We present the first study on cross-genre and cross-group CWI, showing measurable influences in native language and genre types.
%U https://aclanthology.org/I17-2068
%P 401-407

Markdown (Informal)

[CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups](https://aclanthology.org/I17-2068) (Yimam et al., IJCNLP 2017)

• CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups (Yimam et al., IJCNLP 2017)

ACL

• Seid Muhie Yimam, Sanja Štajner, Martin Riedl, and Chris Biemann. 2017. CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 401–407, Taipei, Taiwan. Asian Federation of Natural Language Processing.