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Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning
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In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02879883 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France (2020)
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Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing
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In: 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020) ; https://hal.inria.fr/hal-03114898 ; 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020), Nov 2020, Gothenburg, Sweden. pp.1-9, ⟨10.3384/ecp201759⟩ ; https://www.aclweb.org/anthology/volumes/2020.nlp4call-1/ (2020)
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The FAIR Index of CMC Corpora
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In: CMC Corpora through the prism of Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03121698 ; CMC Corpora through the prism of Digital Humanities, 2020 (2020)
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TRIPLE Deliverable: D2.2 Data Harvesting Best Practices Document for Data Providers ...
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TRIPLE Deliverable: D2.2 Data Harvesting Best Practices Document for Data Providers ...
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The CLARIN ERIC deployment infrastructure and its applicability to reproducible research ...
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The CLARIN ERIC deployment infrastructure and its applicability to reproducible research ...
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Abstract:
This paper is describing the needs and technological preconditions of the CLARIN ERIC infrastructure. It introduces how containerization using Docker can help to meet these requirements and fleshes out the build and deployment workflow that CLARIN ERIC is employing to ensure that all the goals of their infrastructure are met in an efficient and sustainable way. In a second step, it is also shown how these same workflows can help researchers, especially in the fields of computational and corpus linguistics, to provide for more easily reproducible research by creating a virtual environment that can provide specific versions of data, programs and algorithms used for certain research questions and make sure that the exact same versions can still be used at a later stage to reproduce the results. ...
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Keyword:
best practices; CLARIN; containerization; docker; infrastructure; reproducible research
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URL: https://dx.doi.org/10.5281/zenodo.3556747 https://zenodo.org/record/3556747
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Ergänzung und Aktualisierung der Stichworte zur Individualversicherung
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