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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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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)
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Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research
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Would auto-translation of metadata enhance discovery and impact of research data? ...
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Would auto-translation of metadata enhance discovery and impact of research data? ...
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Report on the Published Updates to CESSDA Vocabulary Service Content ...
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Report on the Published Updates to CESSDA Vocabulary Service Content ...
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APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
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Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
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Derzis: A Path Aware Linked Data Crawler ...
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Abstract:
Consuming Semantic Web data presents several challenges, from the number of datasets it is composed of, to the (very) large size of some of those datasets and the uncertain availability of querying endpoints. According to its core principles, accessing linked data can be done simply by dereferencing the IRIs of RDF resources. This is a light alternative both for clients and servers when compared to dataset dumps or SPARQL endpoints. The linked data interface does not support complex querying, but using it recursively may suffice to gather information about RDF resources, or to extract the relevant sub-graph which can then be processed and queried using other methods. We present Derzis, an open source semantic web crawler capable of traversing the linked data cloud starting from a set of seed resources. Derzis maintains information about the paths followed while crawling, which allows to define property path-based restrictions to the crawling frontier. ... : OASIcs, Vol. 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021), pages 2:1-2:12 ...
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Keyword:
crawler; Information systems → Structure and multilingual text search; Information systems → Web crawling; linked open data; RDF; Semantic web
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URL: https://dx.doi.org/10.4230/oasics.slate.2021.2
https://drops.dagstuhl.de/opus/volltexte/2021/14419/
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LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ...
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LLOD-driven Bilingual Word Embeddings Rivaling Cross-lingual Transformers in Quality of Life Concept Detection from French Online Health Communities ...
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Flipgrid and Second Language Acquisition Using Flipgrid to Promote Speaking Skills for English Language Learners
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In: Master’s Theses and Projects (2020)
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Determining Differences of Granularity between Cross-Dictionary Linked Senses ...
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Determining Differences of Granularity between Cross-Dictionary Linked Senses ...
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Empowering Parents by Arming them with Personalized Student Data
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In: National Youth Advocacy and Resilience Conference (2020)
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Enabling Sustainable Economic Growth in Developing Countries: Targeted Tourism Management in the Caucasus Region
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In: Social Impact Research Experience (SIRE) (2020)
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ROSETTA: Resources for Endangered languages through translated texts
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In: The Center for Spatial and Textual Analysis (CESTA) Seminar Series, Stanford University, USA ; https://hal.archives-ouvertes.fr/hal-03083801 ; The Center for Spatial and Textual Analysis (CESTA) Seminar Series, Stanford University, USA, The Center for Spatial and Textual Analysis (CESTA), Apr 2019, Stanford, United States ; https://cesta.stanford.edu/events/cesta-seminar-series-rosetta-0 (2019)
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Ligt: An LLOD-Native Vocabulary for Representing Interlinear Glossed Text as RDF
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Ionov, Maxim; 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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