<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="varab-schluter-2019-uniparse">
    <titleInfo>
        <title>UniParse: A universal graph-based parsing toolkit</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Varab</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Natalie</namePart>
        <namePart type="family">Schluter</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-sep–oct</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 22nd Nordic Conference on Computational Linguistics</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Mareike</namePart>
            <namePart type="family">Hartmann</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Barbara</namePart>
            <namePart type="family">Plank</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Linköping University Electronic Press</publisher>
            <place>
                <placeTerm type="text">Turku, Finland</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package. UniParse as a framework novelly streamlines research prototyping, development and evaluation of graph-based dependency parsing architectures. UniParse does this by enabling highly efficient, sufficiently independent, easily readable, and easily extensible implementations for all dependency parser components. We distribute the toolkit with ready-made configurations as re-implementations of all current state-of-the-art first-order graph-based parsers, including even more efficient Cython implementations of both encoders and decoders, as well as the required specialised loss functions.</abstract>
    <identifier type="citekey">varab-schluter-2019-uniparse</identifier>
    <location>
        <url>https://aclanthology.org/W19-6149</url>
    </location>
    <part>
        <date>2019-sep–oct</date>
        <extent unit="page">
            <start>406</start>
            <end>410</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T UniParse: A universal graph-based parsing toolkit
%A Varab, Daniel
%A Schluter, Natalie
%Y Hartmann, Mareike
%Y Plank, Barbara
%S Proceedings of the 22nd Nordic Conference on Computational Linguistics
%D 2019
%8 sep–oct
%I Linköping University Electronic Press
%C Turku, Finland
%F varab-schluter-2019-uniparse
%X This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package. UniParse as a framework novelly streamlines research prototyping, development and evaluation of graph-based dependency parsing architectures. UniParse does this by enabling highly efficient, sufficiently independent, easily readable, and easily extensible implementations for all dependency parser components. We distribute the toolkit with ready-made configurations as re-implementations of all current state-of-the-art first-order graph-based parsers, including even more efficient Cython implementations of both encoders and decoders, as well as the required specialised loss functions.
%U https://aclanthology.org/W19-6149
%P 406-410

Markdown (Informal)

[UniParse: A universal graph-based parsing toolkit](https://aclanthology.org/W19-6149) (Varab & Schluter, NoDaLiDa 2019)

• UniParse: A universal graph-based parsing toolkit (Varab & Schluter, NoDaLiDa 2019)

ACL

• Daniel Varab and Natalie Schluter. 2019. UniParse: A universal graph-based parsing toolkit. In Proceedings of the 22nd Nordic Conference on Computational Linguistics, pages 406–410, Turku, Finland. Linköping University Electronic Press.