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Covering various Needs in Temporal Annotation: a Proposal of Extension of ISO TimeML that Preserves Upward Compatibility
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In: LREC 2016 proceedings ; LREC 2016 ; https://halshs.archives-ouvertes.fr/halshs-01318792 ; LREC 2016, May 2016, Portorož Slovenia (2016)
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Faire du TAL sur des données personnelles : un oxymore ?
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In: TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01171519 ; TALN 2015, ATALA, Jun 2015, Caen, France ; https://taln2015.greyc.fr (2015)
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Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969180 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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"Where the data are coming from?" Ethics, crowdsourcing and traceability for Big Data in Human Language Technology
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In: Crowdsourcing and human computation multidisciplinary workshop ; https://hal.archives-ouvertes.fr/hal-01078045 ; Crowdsourcing and human computation multidisciplinary workshop, CNRS, Sep 2014, Paris, France (2014)
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Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.inria.fr/hal-01053047 ; Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_25⟩ (2014)
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Abstract:
International audience ; This article is a position paper about Amazon Mechanical Turk, the use of which has been steadily growing in language processing in the past few years. According to the mainstream opinion expressed in articles of the domain, this type of on-line working platforms allows to develop quickly all sorts of quality language resources, at a very low price, by people doing that as a hobby. We shall demonstrate here that the situation is far from being that ideal. Our goal here is manifold: 1- to inform researchers, so that they can make their own choices, 2- to develop alternatives with the help of funding agencies and scientific associations, 3- to propose practical and organizational solutions in order to improve language resources development, while limiting the risks of ethical and legal issues without letting go price or quality, 4- to introduce an Ethics and Big Data Charter for the documentation of language resource
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Amazon Mechanical Turk; Ethics; Language resources
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URL: https://doi.org/10.1007/978-3-319-08958-4_25
https://hal.inria.fr/hal-01053047/file/LNAI_AMT_Finale.pdf
https://hal.inria.fr/hal-01053047/document
https://hal.inria.fr/hal-01053047
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