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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...14 Hits 1 – 20 of 264 1 SSHOC practical prompts for data and research ... Negoita, Daniela; Bidargaddi, Archana; Franzese, Fabio. - : Zenodo, 2022 BASE Show details 2 SSHOC practical prompts for data and research ... Negoita, Daniela; Bidargaddi, Archana; Franzese, Fabio. - : Zenodo, 2022 BASE Show details 3 The Lannang Corpus (LanCorp): A POS-tagged, sociolinguistic corpus containing recordings and transcriptions of Lannang speech collected from the metropolitan Manila Lannangs between 2016 and 2020 ... Gonzales, Wilkinson Daniel Wong. - : University of Michigan - Deep Blue Data, 2022 BASE Show details 4 Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques Boros, Emanuela; Hamdi, Ahmed; Linhares Pontes, Elvys; Cabrera-Diego, Luis Adrián; Moreno, José G.; Sidere, Nicolas; Doucet, Antoine In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021) Abstract: National audience ; This paper tackles the task of NER applied to historical texts obtained from processing digital images of news papers using OCR techniques. The main challenge for this task is that the OCR process leads to misspellings and linguistic errors in the output text, which can impact the performance of the NER. We conduct a comparative evaluation on two historical datasets in German and French against previous state-of-the-art models, and we propose a model based ona hierarchical stack of Transformers to approach the NER task for historical data. Our findings show that the proposed model clearly improves the results on both historical data sets ; Cet article aborde la reconnaissance d’entités nommées (NER) appliquée aux textes historiques obtenus à partir du traitement d’images numériques de journaux à l’aide de tech-niques de reconnaissance optique de caractères (OCR). Nous soutenons que le principal défi pour cette tâche est que le processus OCR produit des textes contenant entre autres des fautes d’orthographe et des erreurs de syntaxes. De plus, des variations sémantiques peuvent être présentes dans les documents anciens, ce qui a un impact sur les performances de la reconnaissance d’entités nommées. Nous menons une évaluation comparative à l’état de l’art de deux ensembles de données historiques en allemand et en français, et nous proposons un modèle basé sur une pile hiérarchique de couches Transformer pour aborder la reconnaissance d’entités nommées dans des données historiques. Nos résultats montrent que le modèle proposé améliore clairement les résultats sur les deux ensembles de données Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; données historiques; données multi-lingues; Extraction d’information; Historical data; Information extraction; Multilingual data; Named entity recognition; reconnaissance d’entités nommées URL: https://hal.archives-ouvertes.fr/hal-03320332/document https://hal.archives-ouvertes.fr/hal-03320332 https://hal.archives-ouvertes.fr/hal-03320332/file/main%281%29.pdf BASE Hide details 5 Contextualization of Web contents through semantic enrichment from linked open data ; Contextualisation des contenus Web par l'enrichissement sémantique à partir de données Kumar, Amit. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03561788 ; Databases [cs.DB]. Normandie Université, 2021. English. ⟨NNT : 2021NORMC243⟩ (2021) BASE Show details 6 Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research Demeke, Wegene; Ryan, Bruce. - 2021 BASE Show details 7 Would auto-translation of metadata enhance discovery and impact of research data? ... Stokes, Paul LS; Burland, Tamsin; Kaye, John. - : Zenodo, 2021 BASE Show details 8 Would auto-translation of metadata enhance discovery and impact of research data? ... Stokes, Paul LS; Burland, Tamsin; Kaye, John. - : Zenodo, 2021 BASE Show details 9 Report on the Published Updates to CESSDA Vocabulary Service Content ... Jääskeläinen, Taina. - : Zenodo, 2021 BASE Show details 10 Report on the Published Updates to CESSDA Vocabulary Service Content ... Jääskeläinen, Taina. - : Zenodo, 2021 BASE Show details 11 APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ... Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 12 Derzis: A Path Aware Linked Data Crawler ... Santos, André Fernandes dos; Leal, José Paulo. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 13 Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases Katsarou, Styliani. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021 BASE Show details 14 Extending a Text Classifier to Multiple Languages ; Utöka en textklassificeringsmodell till flera språk Byström, Albin. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021 BASE Show details 15 LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ... Allgaier, Katharina; Veríssimo, Susana; Tan, Sherry. - : Zenodo, 2021 BASE Show details 16 LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ... Allgaier, Katharina; Veríssimo, Susana; Tan, Sherry. - : Zenodo, 2021 BASE Show details 17 Analyzing Non-Textual Content Elements to Detect Academic Plagiarism Meuschke, Norman. - 2021 BASE Show details 18 A Complete Guide To Digital Concierges In 2021 Singh, Raj. - : Hospitalitynet, 2021 BASE Show details 19 Flipgrid and Second Language Acquisition Using Flipgrid to Promote Speaking Skills for English Language Learners Difilippantonio-Pen, Annelise In: Master’s Theses and Projects (2020) BASE Show details 20 Catalan United Nations v1.0 test set ... Costa-Jussà, Marta R.. - : Zenodo, 2020 BASE Show details Page: 1 2 3 4 5...14

Mobile view All Catalogues UB Frankfurt Linguistik 2 IDS Mannheim 0 OLC Linguistik 9 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 35 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 72 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 157 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0