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Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
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A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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Constituting the Democrat Corpus: Annotation and Evaluation Procedures ; Élaboration du corpus Democrat : procédures d’annotation et d’évaluation
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In: ISSN: 0458-726X ; EISSN: 1958-9549 ; Langages ; https://hal.archives-ouvertes.fr/hal-03474329 ; Langages, Armand Colin (Larousse jusqu'en 2003), 2021, Un corpus annoté en chaînes de référence et son exploitation : le projet Democrat, pp.25-46 ; https://www.revues.armand-colin.com/lettres-langues/langages/langages-no-224-42021/elaboration-du-corpus-democrat-procedures-dannotation-devaluation (2021)
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pygamma-agreement: Gamma measure for inter/intra-annotator agreement in Python ...
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pygamma-agreement: Gamma measure for inter/intra-annotator agreement in Python ...
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Inter-annotator agreement in spoken language annotation: Applying uα-family coefficients to discourse segmentation
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In: Russian Journal of Linguistics, Vol 25, Iss 2, Pp 478-506 (2021) (2021)
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Annotation des proéminences pour la segmentation de corpus oraux : l’expérience du projet SegCor
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In: CMLF 2018 - 6e Congrès Mondial de Linguistique Française ; https://halshs.archives-ouvertes.fr/halshs-01839314 ; CMLF 2018 - 6e Congrès Mondial de Linguistique Française, Franck Neveu; Bernard Harmegnies; Linda Hriba; Sophie Prévost, Jul 2018, Mons, Belgique (2018)
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Annotation of prominences for the segmentation of oral corpora: the Segcor project experiment ; Annotation des proéminences pour la segmentation de corpus oraux : l'expérience du projet SegCor
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In: ISSN: 2261-2424 ; SHS Web of Conferences ; https://hal.archives-ouvertes.fr/hal-01959747 ; SHS Web of Conferences, EDP Sciences, 2018, 6e Congrès Mondial de Linguistique Française, 46 (2018)
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A contribution to Computational Linguistics and Natural Language Processing: From the Semantics of Space and Time to Annotations and Agreement Measures
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In: https://hal.archives-ouvertes.fr/tel-01713846 ; Artificial Intelligence [cs.AI]. Université de Caen Normandie, 2017 (2017)
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A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT)
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01631743 ; Language Resources and Evaluation, Springer Verlag, 2017, 52 (2), pp.571-601. ⟨10.1007/s10579-017-9382-y⟩ (2017)
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A Large Rated Lexicon with French Medical Words
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In: LREC (Language Resources and Evaluation Conference) 2016 ; https://hal.archives-ouvertes.fr/hal-01426790 ; LREC (Language Resources and Evaluation Conference) 2016, May 2016, Portorož, Slovenia (2016)
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Twitter sentiment for 15 European languages
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Abstract:
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate Twitter sentiment classifiers, to compute annotator agreement, or to study the differences between language usage on Twitter. The data analysis is described in the following papers: I. Mozetič, M. Grčar, J. Smailović. Multilingual Twitter sentiment classification: The role of human annotators, PLoS ONE 11(5): e0155036, doi:10.1371/journal.pone.e0155036, 2016. (http://dx.doi.org/10.1371/journal.pone.0155036) I. Mozetič, L. Torgo, V. Cerqueira, J. Smailović. How to evaluate sentiment classifiers for Twitter time-ordered data?, PLoS ONE 13(3): e0194317, doi:10.1371/journal.pone.0194317, 2018. (https://dx.doi.org/10.1371/journal.pone.0194317)
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Keyword:
annotator self-agreement; inter-annotator agreement; multilingual; sentiment classification; Twitter
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URL: http://hdl.handle.net/11356/1054
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Inter-annotator agreement for a speech corpus pronounced by French and German language learners
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In: Workshop on Speech and Language Technology in Education ; https://hal.archives-ouvertes.fr/hal-01185194 ; Workshop on Speech and Language Technology in Education, ISCA Special Interest Group (SIG) on Speech and Language Technology in Education, Sep 2015, Leipzig, Germany (2015)
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The GV-LEx corpus of tales in French ; The GV-LEx corpus of tales in French: Text and speech corpora enriched with lexical, discourse, structural, phonemic and prosodic annotations
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://halshs.archives-ouvertes.fr/halshs-01251140 ; Language Resources and Evaluation, Springer Verlag, 2015, 49 (3), pp.521-547. ⟨10.1007/s10579-015-9306-7⟩ (2015)
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The Unified and Holistic Method Gamma for Inter-annotator Agreement Measure and Alignment
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01145352 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2015, 41 (3), pp.437-479 (2015)
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The System of Register Labels in plWordNet
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In: Cognitive Studies | Études cognitives; No 15 (2015); 161-175 ; 2392-2397 (2015)
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Correcting and Validating Syntactic Dependency in the Spoken French Treebank Rhapsodie
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In: Proceedings of the 9th Language Resources and Evaluation Conference (LREC) ; https://halshs.archives-ouvertes.fr/halshs-01011059 ; Proceedings of the 9th Language Resources and Evaluation Conference (LREC), 2014, Iceland. pp.1-6 (2014)
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Manual Corpus Annotation: Giving Meaning to the Evaluation Metrics
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In: Proceedings of the International Conference on Computational Linguistics (COLING 2012) ; International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-00769639 ; International Conference on Computational Linguistics, Dec 2012, Mumbaï, India. pp.809--818 (2012)
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Annotating Cognates and Etymological Origin in Turkic Languages
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