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        <title>Pimlico: A toolkit for corpus-processing pipelines and reproducible experiments</title>
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            <namePart type="given">Eunjeong</namePart>
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        <name type="personal">
            <namePart type="given">Masato</namePart>
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    <abstract>We present Pimlico, an open source toolkit for building pipelines for processing large corpora. It is especially focused on processing linguistic corpora and provides wrappers around existing, widely used NLP tools. A particular goal is to ease distribution of reproducible and extensible experiments by making it easy to document and re-run all steps involved, including data loading, pre-processing, model training and evaluation. Once a pipeline is released, it is easy to adapt, for example, to run on a new dataset, or to re-run an experiment with different parameters. The toolkit takes care of many common challenges in writing and distributing corpus-processing code, such as managing data between the steps of a pipeline, installing required software and combining existing toolkits with new, task-specific code.</abstract>
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    <identifier type="doi">10.18653/v1/2020.nlposs-1.14</identifier>
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%0 Conference Proceedings
%T Pimlico: A toolkit for corpus-processing pipelines and reproducible experiments
%A Granroth-Wilding, Mark
%Y Park, Eunjeong L.
%Y Hagiwara, Masato
%Y Milajevs, Dmitrijs
%Y Liu, Nelson F.
%Y Chauhan, Geeticka
%Y Tan, Liling
%S Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F granroth-wilding-2020-pimlico
%X We present Pimlico, an open source toolkit for building pipelines for processing large corpora. It is especially focused on processing linguistic corpora and provides wrappers around existing, widely used NLP tools. A particular goal is to ease distribution of reproducible and extensible experiments by making it easy to document and re-run all steps involved, including data loading, pre-processing, model training and evaluation. Once a pipeline is released, it is easy to adapt, for example, to run on a new dataset, or to re-run an experiment with different parameters. The toolkit takes care of many common challenges in writing and distributing corpus-processing code, such as managing data between the steps of a pipeline, installing required software and combining existing toolkits with new, task-specific code.
%R 10.18653/v1/2020.nlposs-1.14
%U https://aclanthology.org/2020.nlposs-1.14
%U https://doi.org/10.18653/v1/2020.nlposs-1.14
%P 101-109

Markdown (Informal)

[Pimlico: A toolkit for corpus-processing pipelines and reproducible experiments](https://aclanthology.org/2020.nlposs-1.14) (Granroth-Wilding, NLPOSS 2020)

• Pimlico: A toolkit for corpus-processing pipelines and reproducible experiments (Granroth-Wilding, NLPOSS 2020)

ACL

• Mark Granroth-Wilding. 2020. Pimlico: A toolkit for corpus-processing pipelines and reproducible experiments. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 101–109, Online. Association for Computational Linguistics.