<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kern-etal-2017-know">
    <titleInfo>
        <title>Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Roman</namePart>
        <namePart type="family">Kern</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Stefan</namePart>
        <namePart type="family">Falk</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Andi</namePart>
        <namePart type="family">Rexha</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Steven</namePart>
            <namePart type="family">Bethard</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marine</namePart>
            <namePart type="family">Carpuat</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marianna</namePart>
            <namePart type="family">Apidianaki</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Saif</namePart>
            <namePart type="given">M</namePart>
            <namePart type="family">Mohammad</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Daniel</namePart>
            <namePart type="family">Cer</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">David</namePart>
            <namePart type="family">Jurgens</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vancouver, Canada</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes our participation in SemEval-2017 Task 10. We competed in Subtask 1 and 2 which consist respectively in identifying all the key phrases in scientific publications and label them with one of the three categories: Task, Process, and Material. These scientific publications are selected from Computer Science, Material Sciences, and Physics domains. We followed a supervised approach for both subtasks by using a sequential classifier (CRF - Conditional Random Fields). For generating our solution we used a web-based application implemented in the EU-funded research project, named CODE. Our system achieved an F1 score of 0.39 for the Subtask 1 and 0.28 for the Subtask 2.</abstract>
    <identifier type="citekey">kern-etal-2017-know</identifier>
    <identifier type="doi">10.18653/v1/S17-2167</identifier>
    <location>
        <url>https://aclanthology.org/S17-2167</url>
    </location>
    <part>
        <date>2017-08</date>
        <extent unit="page">
            <start>961</start>
            <end>964</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator
%A Kern, Roman
%A Falk, Stefan
%A Rexha, Andi
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F kern-etal-2017-know
%X This paper describes our participation in SemEval-2017 Task 10. We competed in Subtask 1 and 2 which consist respectively in identifying all the key phrases in scientific publications and label them with one of the three categories: Task, Process, and Material. These scientific publications are selected from Computer Science, Material Sciences, and Physics domains. We followed a supervised approach for both subtasks by using a sequential classifier (CRF - Conditional Random Fields). For generating our solution we used a web-based application implemented in the EU-funded research project, named CODE. Our system achieved an F1 score of 0.39 for the Subtask 1 and 0.28 for the Subtask 2.
%R 10.18653/v1/S17-2167
%U https://aclanthology.org/S17-2167
%U https://doi.org/10.18653/v1/S17-2167
%P 961-964

Markdown (Informal)

[Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator](https://aclanthology.org/S17-2167) (Kern et al., SemEval 2017)

• Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator (Kern et al., SemEval 2017)

ACL

• Roman Kern, Stefan Falk, and Andi Rexha. 2017. Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 961–964, Vancouver, Canada. Association for Computational Linguistics.