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        <title>UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task</title>
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    <name type="personal">
        <namePart type="given">Milan</namePart>
        <namePart type="family">Straka</namePart>
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            <title>Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies</title>
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        <name type="personal">
            <namePart type="given">Daniel</namePart>
            <namePart type="family">Zeman</namePart>
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        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Hajič</namePart>
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    <abstract>UDPipe is a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We present a prototype for UDPipe 2.0 and evaluate it in the CoNLL 2018 UD Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, which employs three metrics for submission ranking. Out of 26 participants, the prototype placed first in the MLAS ranking, third in the LAS ranking and third in the BLEX ranking. In extrinsic parser evaluation EPE 2018, the system ranked first in the overall score.</abstract>
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    <identifier type="doi">10.18653/v1/K18-2020</identifier>
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        <date>2018-10</date>
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%0 Conference Proceedings
%T UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
%A Straka, Milan
%Y Zeman, Daniel
%Y Hajič, Jan
%S Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F straka-2018-udpipe
%X UDPipe is a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We present a prototype for UDPipe 2.0 and evaluate it in the CoNLL 2018 UD Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, which employs three metrics for submission ranking. Out of 26 participants, the prototype placed first in the MLAS ranking, third in the LAS ranking and third in the BLEX ranking. In extrinsic parser evaluation EPE 2018, the system ranked first in the overall score.
%R 10.18653/v1/K18-2020
%U https://aclanthology.org/K18-2020
%U https://doi.org/10.18653/v1/K18-2020
%P 197-207

Markdown (Informal)

[UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task](https://aclanthology.org/K18-2020) (Straka, CoNLL 2018)

• UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task (Straka, CoNLL 2018)

ACL

• Milan Straka. 2018. UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 197–207, Brussels, Belgium. Association for Computational Linguistics.