Textflows: an open science NLP evaluation approach.

Web-based platforms offer suitable experimental environments enabling the construction and reuse of natural language processing (NLP) pipelines. However, systematic evaluation of NLP tools in an open science web-based setting is still a challenge, as suitable experimental environments for the constr...

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Publicado en:Language Resources & Evaluation Vol. 59; no. 4; pp. 4439 - 4469
Autores principales: Martinc, Matej, Perovšek, Matic, Lavrač, Nada, Pollak, Senja
Formato: Artículo
Publicado: Springer Nature Dec2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2025
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      pub: Springer Nature
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        10.1007/s10579-024-09793-1
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        atl: Textflows: an open science NLP evaluation approach.
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        au:
          Martinc, Matej
          Perovšek, Matic
          Lavrač, Nada
          Pollak, Senja
        affil: https://ror.org/05060sz93 Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia
      su:
        Evaluation methodology
        Reproducible research
        Software frameworks
        Open scholarship
        Algorithms
        Computational linguistics
      sug:
        subj:
          Evaluation methodology
          Reproducible research
          Software frameworks
          Open scholarship
          Algorithms
          Computational linguistics
      keyword:
        NLP evaluation
        Online platform
        Open source
        POS tagging
        Replicability and reusability
      ab: Web-based platforms offer suitable experimental environments enabling the construction and reuse of natural language processing (NLP) pipelines. However, systematic evaluation of NLP tools in an open science web-based setting is still a challenge, as suitable experimental environments for the construction and reuse of NLP pipelines are still rare. This paper presents TextFlows, an open-source web-based platform, which enables user-friendly construction, sharing, execution, and reuse of NLP pipelines. It demonstrates that TextFlows can be easily used for systematic evaluation of new NLP components by integrating seven publicly available open-source part of speech (POS) taggers from popular NLP libraries, and evaluating them on six annotated corpora. The integration of new tools into TextFlows supports tools reuse, while the use of precomposed algorithm comparison and evaluation workflows supports experiment reproducibility and testing of future algorithms in the same experimental environment. Finally, to showcase the variety of evaluation possibilities offered in the TextFlows platform, the influence of various factors, such as the training corpus length and the use of pre-trained models, have been tested.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved.
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      holder: Springer Nature
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          year: 2025
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