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Étude des chaînes de référence en français : liens entre modélisation linguistique et analyse quantitative
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In: ISSN: 0037-9069 ; EISSN: 1783-1385 ; Bulletin de la Société de Linguistique de Paris ; https://halshs.archives-ouvertes.fr/halshs-03346119 ; Bulletin de la Société de Linguistique de Paris, Peeters Publishers, 2021, CXVI (1), pp.41-75 (2021)
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The Democrat corpus and its exploitation. Presentation ; Le corpus Democrat et son exploitation. Présentation
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In: ISSN: 0458-726X ; EISSN: 1958-9549 ; Langages ; https://hal.archives-ouvertes.fr/hal-03474748 ; Langages, Armand Colin (Larousse jusqu'en 2003), 2021, Un corpus annoté en chaînes de référence et son exploitation : le projet Democrat, pp.11-24 ; https://www.revues.armand-colin.com/lettres-langues/langages/langages-no-224-42021/ (2021)
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Do thus: an investigation into anaphoric event reference
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 78 ; 2397-1835 (2021)
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Color interpretation is guided by informativity expectations, not by world knowledge about colors ...
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Discovering collocations via data-driven learning in L2 writing
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Wu, Yi-ju Ariel. - : University of Hawaii National Foreign Language Resource Center, 2021. : Center for Language & Technology, 2021. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2021
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La Gramática del Papel y la Referencia aplicada a la enfermedad de Alzheimer: una aproximación basada en corpus
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In: RAEL: revista electrónica de lingüística aplicada, ISSN 1885-9089, Vol. 20, Nº. 1, 2021, pags. 114-135 (2021)
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Corpus analysis of coreference chains ; Analyse en corpus de chaînes de coréférence : la coréférence non-stricte à l'épreuve de la linguistique outillée
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In: https://tel.archives-ouvertes.fr/tel-03425446 ; Linguistique. Université de la Sorbonne nouvelle - Paris III, 2020. Français. ⟨NNT : 2020PA030073⟩ (2020)
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Annotating reference chains in learner corpora to assess textual writing skills ; Annoter des chaines de référence en corpus d'apprenants pour évaluer des compétences textuelles
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In: Annotation de la coréférence - CLLE (UMR 5263) - Université de Toulouse Jean-Jaurès ; https://hal.archives-ouvertes.fr/hal-03083230 ; Annotation de la coréférence - CLLE (UMR 5263) - Université de Toulouse Jean-Jaurès, Nov 2020, Toulouse, France ; https://clle.univ-tlse2.fr/accueil/navigation/archives/archives-agenda/etude-des-chaines-de-reference-en-francais-le-projet-anr-democrat-701463.kjsp?RH=1463577122782 (2020)
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WikiWars-UA : Ukrainian corpus annotated with temporal expressions
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In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-02371237 ; Computational Linguistics and Intelligent Systems, Apr 2019, Kharkiv, Ukraine (2019)
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Graph-Based Annotation Engineering: Towards a Gold Corpus for Role and Reference Grammar
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Chiarcos, Christian. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Abstract:
This paper describes the application of annotation engineering techniques for the construction of a corpus for Role and Reference Grammar (RRG). RRG is a semantics-oriented formalism for natural language syntax popular in comparative linguistics and linguistic typology, and predominantly applied for the description of non-European languages which are less-resourced in terms of natural language processing. Because of its cross-linguistic applicability and its conjoint treatment of syntax and semantics, RRG also represents a promising framework for research challenges within natural language processing. At the moment, however, these have not been explored as no RRG corpus data is publicly available. While RRG annotations cannot be easily derived from any single treebank in existence, we suggest that they can be reliably inferred from the intersection of syntactic and semantic annotations as represented by, for example, the Universal Dependencies (UD) and PropBank (PB), and we demonstrate this for the English Web Treebank, a 250,000 token corpus of various genres of English internet text. The resulting corpus is a gold corpus for future experiments in natural language processing in the sense that it is built on existing annotations which have been created manually. A technical challenge in this context is to align UD and PB annotations, to integrate them in a coherent manner, and to distribute and to combine their information on RRG constituent and operator projections. For this purpose, we describe a framework for flexible and scalable annotation engineering based on flexible, unconstrained graph transformations of sentence graphs by means of SPARQL Update.
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Keyword:
Corpus; Data processing Computer science; LLOD; NLP; Role and Reference Grammar; Semantic Web; Semantics; Syntax
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URN:
urn:nbn:de:0030-drops-103731
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URL: https://drops.dagstuhl.de/opus/volltexte/2019/10373/ https://doi.org/10.4230/OASIcs.LDK.2019.9
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Алгоритм разработки и создания цифрового академического словарного корпуса русского языка ... : Academic Vocabulary Russian ...
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