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Manual annotation of occurrences of terms candidates in scientific papers ; Annotation manuelle d'occurrences de candidats termes et écrit scientifique
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In: https://hal.archives-ouvertes.fr/hal-02005884 ; 2021 (2021)
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Abstract:
This paper compares two successive annotation campaigns aimed at manually identifying the occurrences of candidate terms that actually fall within the scientific domain of the annotated document. The two campaigns are distinguished by their objectives. The first aimed the enrichment of existing terminological resources. The second had the dual objective of comparing several annotation tools (BRAT, GATE, GLOZZ) and measuring the difficulty of the annotation task in the human and social sciences compared to the so-called hard sciences. A direct comparison between both campaigns is not possible on the basis of the produced corpora. To do this, we use these corpora like learning corpus in the context of a test task. The role of this task is to automatise the manual annotation. The goal is to determine if the second corpus is of better quality than the first one with regards to the test task performances. ; Cet article compare deux campagnes d'annotation successives visant l'identification manuelle des occurrences de candidats termes qui relèvent effectivement de la discipline scien-tifique de l'article considéré. Les deux campagnes se distinguent par leurs objectifs. La pre-mière visait l'enrichissement de terminologies existantes. La seconde avait le double objectif de comparer plusieurs environnements d'annotation (BRAT, GATE, GLOZZ), et de mesurer la dif-ficulté de la tâche d'annotation en sciences humaines et sociales par rapport aux sciences dites exactes. Les corpus produits ne permettant pas de comparer les deux campagnes directement, nous exploitons ces corpus comme corpus d'apprentissage dans une tâche test qui consiste à automatiser l'annotation manuelle. L'objectif est de savoir si le corpus de la seconde cam-pagne permet d'augmenter les performances de la tâche test par rapport à celui de la première campagne.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Annotation manuelle; Computational Terminology; Domain specific Languages; Langue de spécialité; Manual Annotation; Terminologie textuelle; Textual Terminology
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URL: https://hal.archives-ouvertes.fr/hal-02005884
https://hal.archives-ouvertes.fr/hal-02005884/file/annotation_CT.pdf
https://hal.archives-ouvertes.fr/hal-02005884/document
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A Language Agnostic Approach to Modeling Requirements: Specification and Verification
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In: MODELS ’20 Companion ; https://hal.inria.fr/hal-02924645 ; MODELS ’20 Companion, Oct 2020, Virtual Event, Canada. ⟨10.1145/3417990.3419224⟩ (2020)
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From Grammar Inference to Semantic Inference—An Evolutionary Approach
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In: Mathematics ; Volume 8 ; Issue 5 (2020)
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On modularity and performance of External Domain-Specific Language implementations ; Modularité et performance des implémentations de langages dédiés externes
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In: https://hal.inria.fr/tel-02418676 ; Software Engineering [cs.SE]. Université de rennes 1, 2019. English (2019)
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| 8 |
A vision of miking : Interactive programmatic modeling, sound language composition, and self-learning compilation
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Broman, David. - : KTH, Programvaruteknik och datorsystem, SCS, 2019. : Association for Computing Machinery, Inc, 2019
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| 9 |
Concern-Oriented Language Development (COLD): Fostering Reuse in Language Engineering
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In: ISSN: 1477-8424 ; Computer Languages, Systems and Structures ; https://hal.archives-ouvertes.fr/hal-01803008 ; Computer Languages, Systems and Structures, Elsevier, 2018, 54, pp.139-155. ⟨10.1016/j.cl.2018.05.004⟩ (2018)
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| 10 |
Modular Design of Domain-Specific Languages using Splittings of Catamorphisms
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In: ICTAC 2018 - 15th International Colloquium on the Theoretical Aspects of Computing ; https://hal.inria.fr/hal-01919423 ; ICTAC 2018 - 15th International Colloquium on the Theoretical Aspects of Computing, Oct 2018, Stellenbosch, South Africa. pp.62-79, ⟨10.1007/978-3-030-02508-3_4⟩ (2018)
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| 11 |
Polish Anglicisms in the fields of leisure, fashion and entertainment against historical background
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In: LFE: Revista de lenguas para fines específicos, ISSN 1133-1127, Vol. 24, Nº 1, 2018, pags. 142-165 (2018)
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| 12 |
The cloud application modelling and execution language (CAMEL) ...
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| 14 |
Towards Support for Strategic Decision Processes Using Enterprise Models: A Critical Reconstruction of Strategy Analysis Tools
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In: Lecture Notes in Business Information Processing ; 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM) ; https://hal.inria.fr/hal-01653509 ; 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. pp.41-56, ⟨10.1007/978-3-319-48393-1_4⟩ (2016)
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| 15 |
An Ontological Driven Approach of HAD Specific Language Designing
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In: https://hal.archives-ouvertes.fr/hal-01309151 ; 2016 (2016)
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| 16 |
Execution Framework of the GEMOC Studio (Tool Demo)
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In: Proceedings of the 2016 ACM SIGPLAN International Conference on Software Language Engineering ; https://hal.inria.fr/hal-01355391 ; Proceedings of the 2016 ACM SIGPLAN International Conference on Software Language Engineering, Oct 2016, Amsterdam, Netherlands. pp.8 (2016)
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| 17 |
Improving the comprehension of domain-specific languages by utilizing visualizations ... : Verbesserung der Verständlichkeit domänen-spezifischer Sprachen mittels Visualisierungen ...
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| 19 |
Improving the performance of an example-based machine translation system using a domain-specific bilingual lexicon
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In: 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 ; https://hal-cea.archives-ouvertes.fr/cea-01844060 ; 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, Oct 2015, Shangai, China. pp.106-115 (2015)
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| 20 |
Reusing Legacy DSLs with Melange
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In: 15th Workshop on Domain-Specific Modeling ; https://hal.inria.fr/hal-01197039 ; 15th Workshop on Domain-Specific Modeling, Oct 2015, Pittsburgh, United States (2015)
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