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Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings
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In: LChange'22 - 3rd International Workshop on Computational Approaches to Historical Language Change 2022 ; https://hal.inria.fr/hal-03635005 ; LChange'22 - 3rd International Workshop on Computational Approaches to Historical Language Change 2022, May 2022, Dublin, Ireland (2022)
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Tight Fine-Grained Bounds for Direct Access on Join Queries
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In: https://hal.archives-ouvertes.fr/hal-03654342 ; 2022 (2022)
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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
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In: Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022) ; https://hal.inria.fr/hal-03639144 ; Proceedings of the International Workshop on Challenges & Perspectives in Creating Large Language Models 2022 (BigScience 2022), May 2022, Dublin, France (2022)
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Annotation of Morphological Errors in L2 Russian Corpus Analysis
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In: 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable ; https://hal.archives-ouvertes.fr/hal-03620469 ; 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable, University of Arizona, Feb 2022, Tucson, United States (2022)
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i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry
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In: ISSN: 0166-3615 ; Computers in Industry ; https://hal.archives-ouvertes.fr/hal-03330584 ; Computers in Industry, Elsevier, 2021, 132, pp.103527. ⟨10.1016/j.compind.2021.103527⟩ (2021)
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Un nouveau regard sur la syntaxe russe ; Un nouveau regard sur la syntaxe russe: de l’erreur individuelle vers une tendance générale
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In: 10th World Congres, ICCEES (the International Council for Central and East European Studies) ; https://hal.archives-ouvertes.fr/hal-03628377 ; 10th World Congres, ICCEES (the International Council for Central and East European Studies), Columbia University, Aug 2021, Montréal, Canada (2021)
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From Error Annotation to Quantitative Analysis: Patterns in Russian Language Learning
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In: ISSN: 0036-0252 ; Russian language journal ; https://hal.archives-ouvertes.fr/hal-03376956 ; Russian language journal, American Councils for International Education, Michigan State University 2021, 71 (3), pp.39-70 (2021)
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Contextualization of Web contents through semantic enrichment from linked open data ; Contextualisation des contenus Web par l'enrichissement sémantique à partir de données
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In: https://tel.archives-ouvertes.fr/tel-03561788 ; Databases [cs.DB]. Normandie Université, 2021. English. ⟨NNT : 2021NORMC243⟩ (2021)
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The Vagueness of Vagueness in Noun Phrases
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In: International Conference on Automated Knowledge Base Construction (AKBC) ; https://hal-imt.archives-ouvertes.fr/hal-03344675 ; International Conference on Automated Knowledge Base Construction (AKBC), 2021, online, United States (2021)
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WDProp: Web Application to Analyse Multilingual Aspects of Wikidata Properties
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In: OpenSym 2021: 17th International Symposium on Open Collaboration ; https://hal.archives-ouvertes.fr/hal-03621622 ; OpenSym 2021: 17th International Symposium on Open Collaboration, Sep 2021, Online, Spain. pp.1-12, ⟨10.1145/3479986.3479996⟩ (2021)
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| 11 |
Looking for COVID-19 misinformation in multilingual social media texts
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In: 25th European Conference on Advances in Databases and Information Systems ; https://hal.archives-ouvertes.fr/hal-03314988 ; 25th European Conference on Advances in Databases and Information Systems, University of Tartu, Aug 2021, Tartu, Estonia. ⟨10.1007/978-3-030-85082-1⟩ ; https://adbis2021.cs.ut.ee (2021)
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| 12 |
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter
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In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop ; 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop ; https://hal.archives-ouvertes.fr/hal-03621370 ; 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, Aug 2021, Online, France. pp.270-283, ⟨10.18653/v1/2021.acl-srw.28⟩ (2021)
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Du recueil à l’exploitation des corpus de parole « pathologique » : comment accéder à la variation physiopathologique ?
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In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03145102 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2021, ⟨10.4000/corpus.5677⟩ (2021)
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| 14 |
Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project
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Carrive, Jean; Beloued, Abdelkrim; Goetschel, Pascale; Heiden, Serge; Laurent, Antoine; Lisena, Pasquale; Mazuet, Franck; Meignier, Sylvain; Pincemin, Bénédicte; Poels, Géraldine; Troncy, Raphaël
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In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021)
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Abstract:
Editors: Taylor Arnold, Jasmijn van Gorp, Stefania Scagliola, and Lauren Tilton ; International audience ; The ANTRACT project is a cross-disciplinary apparatus dedicated to the analysis of the French newsreel company Les Actualités Françaises (1945-1969) and its film productions. Founded during the liberation of France, this state-owned company filmed more than 20,000 news reports shown in French cinemas and throughout the world over its 24 years of activity. The project brings together research organizations with a dual historical and technological perspective. ANTRACT’s goal is to study the production process, the film content, the way historical events are represented and the audience reception of Les Actualités Françaises newsreels using innovative AI-based data processing tools developed by partners specialized in image, audio, and text analysis.This article focuses on the data processing apparatus and tools of the project. Automatic content analysis is used to select data, to segment video units and typescript images, and to align them with their archival description. Automatic speech recognition provides a textual representation and natural language processing can extract named entities from the voice-over recording; automatic visual analysis is applied to detect and recognize faces of well-known characters in videos. These multifaceted data can then be queried and explored with the TXM text-mining platform.The results of these automatic analysis processes are feeding the Okapi platform, a client-server software that integrates documentation, information retrieval, and hypermedia capabilities within a single environment based on the Semantic Web standards. The complete corpus of Les Actualités Françaises, enriched with data and metadata, will be made available to the scientific community by the end of the project.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [SHS.HIST]Humanities and Social Sciences/History; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; Audiovisual archives; Automatic alignment of video with text; Automatic face recognition; Automatic speech recognition; Automatic video segmentation; Automatic visual analysis; Contemporary history; Cross-disciplinary approach; Digital Humanities; FaceRec software; Knowledge management; Les Actualités françaises; Media history; Multimedia content annotation; Newsreels; Okapi software; Open-source software; Qualitative text analysis; Quantitative text analysis; Semantic web; Text mining; Textometry; TXM software
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URL: https://hal.archives-ouvertes.fr/hal-03166755/file/antract_carrive_al_dhq21_200712.pdf
https://hal.archives-ouvertes.fr/hal-03166755/document
https://hal.archives-ouvertes.fr/hal-03166755
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| 15 |
CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy
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In: ISSN: 2196-9736 ; EISSN: 2364-3722 ; Endoscopy International Open ; https://hal.archives-ouvertes.fr/hal-02492408 ; Endoscopy International Open, Georg Thieme Verlag KG, 2020, 8 (3), pp.E415-E420. ⟨10.1055/a-1035-9088⟩ ; https://www.thieme-connect.com/products/ejournals/abstract/10.1055/a-1035-9088 (2020)
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Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
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In: KR 2020 - 17th International Conference on Principles of Knowledge Representation and Reasoning ; https://hal.inria.fr/hal-02947251 ; KR 2020 - 17th International Conference on Principles of Knowledge Representation and Reasoning, Sep 2020, Rhodes / Virtual, Greece. pp.141-151, ⟨10.24963/kr.2020/15⟩ (2020)
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Caractériser un texte en français : les passages-clés des niveaux A1 et A2 du CECRL.
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In: Actes des JADT 2020 ; JADT 2020 15èmes Journées internationales d’Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-02430322 ; JADT 2020 15èmes Journées internationales d’Analyse statistique des Données Textuelles, Jun 2020, Toulouse, France. 11 p ; https://jadt2020.sciencesconf.org/ (2020)
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Building Collaboration-based Resources In Endowed African Languages: Case Of NTeALan Dictionaries Platform
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In: Proceedings of the First workshop on Resources for African Indigenous Languages (RAIL) ; https://hal.archives-ouvertes.fr/hal-02701162 ; Proceedings of the First workshop on Resources for African Indigenous Languages (RAIL), 2020 (2020)
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NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
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In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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On the Optimization of Recursive Relational Queries: Application to Graph Queries
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In: SIGMOD 2020 - ACM International Conference on Management of Data ; https://hal.inria.fr/hal-01673025 ; SIGMOD 2020 - ACM International Conference on Management of Data, Jun 2020, Portland, United States. pp.1-23, ⟨10.1145/3318464.3380567⟩ (2020)
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