<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="claeser-etal-2018-multilingual">
    <titleInfo>
        <title>Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Claeser</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Samantha</namePart>
        <namePart type="family">Kent</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Dennis</namePart>
        <namePart type="family">Felske</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 Third Workshop on Computational Approaches to Linguistic Code-Switching</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Gustavo</namePart>
            <namePart type="family">Aguilar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Fahad</namePart>
            <namePart type="family">AlGhamdi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Victor</namePart>
            <namePart type="family">Soto</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Thamar</namePart>
            <namePart type="family">Solorio</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mona</namePart>
            <namePart type="family">Diab</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Julia</namePart>
            <namePart type="family">Hirschberg</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>This paper describes our system submission for the ACL 2018 shared task on named entity recognition (NER) in code-switched Twitter data. Our best result (F1 = 53.65) was obtained using a Support Vector Machine (SVM) with 14 features combined with rule-based post processing.</abstract>
    <identifier type="citekey">claeser-etal-2018-multilingual</identifier>
    <identifier type="doi">10.18653/v1/W18-3218</identifier>
    <location>
        <url>https://aclanthology.org/W18-3218</url>
    </location>
    <part>
        <date>2018-07</date>
        <extent unit="page">
            <start>132</start>
            <end>137</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines
%A Claeser, Daniel
%A Kent, Samantha
%A Felske, Dennis
%Y Aguilar, Gustavo
%Y AlGhamdi, Fahad
%Y Soto, Victor
%Y Solorio, Thamar
%Y Diab, Mona
%Y Hirschberg, Julia
%S Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F claeser-etal-2018-multilingual
%X This paper describes our system submission for the ACL 2018 shared task on named entity recognition (NER) in code-switched Twitter data. Our best result (F1 = 53.65) was obtained using a Support Vector Machine (SVM) with 14 features combined with rule-based post processing.
%R 10.18653/v1/W18-3218
%U https://aclanthology.org/W18-3218
%U https://doi.org/10.18653/v1/W18-3218
%P 132-137

Markdown (Informal)

[Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines](https://aclanthology.org/W18-3218) (Claeser et al., ACL 2018)

• Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines (Claeser et al., ACL 2018)

ACL

• Daniel Claeser, Samantha Kent, and Dennis Felske. 2018. Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines. In Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching, pages 132–137, Melbourne, Australia. Association for Computational Linguistics.