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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ...
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Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets ...
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HIPE-2022 Shared Task Named Entity Datasets
In: http://infoscience.epfl.ch/record/292174 (2022)
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Explorer la presse numérisée : le projet Impresso
In: http://infoscience.epfl.ch/record/292173 (2022)
Abstract: « Impresso – Media Monitoring of the Past » est un projet de recherche interdisciplinaire dans lequel une équipe d’historiens, de linguistes informaticiens et de designers collabore à la mise en données d’un corpus d’archives de presse numérisées. Les principaux objectifs du projet sont d’améliorer les outils d’extraction d’information pour les textes historiques, d’indexer sémantiquement des journaux historiques, et d’intégrer les enrichissements obtenus dans les pratiques de recherche des historiens au moyen d’une interface nouvellement développée.
URL: http://infoscience.epfl.ch/record/292173
https://infoscience.epfl.ch/record/292173/files/couv-2021--scaled.jpg
https://svha-vd.ch/rhv-2021/
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Historical Newspaper Content Mining: findings from the impresso project ...
Ehrmann, Maud; Bunout, Estelle. - : Zenodo, 2021
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Historical Newspaper Content Mining: findings from the impresso project ...
Ehrmann, Maud; Bunout, Estelle. - : Zenodo, 2021
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More Data and New Tools. Advances in Parsing the Index Thomisticus Treebank
Federica, Gamba; Passarotti, Marco Carlo (orcid:0000-0002-9806-7187); Paolo, Ruffolo. - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:NLD, 2021. : place:AMSTERDAM -- NLD, 2021
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Deep-diving in NLP enhanced digitised newspapers. A hands-on session with the impresso interface ...
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Deep-diving in NLP enhanced digitised newspapers. A hands-on session with the impresso interface ...
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Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
In: http://infoscience.epfl.ch/record/281054 (2020)
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Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
In: http://infoscience.epfl.ch/record/277015 (2020)
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Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers
In: http://infoscience.epfl.ch/record/280047 (2020)
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Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
Parmentier, Yannick; Waszczuk, Jakub; Lichte, Timm. - : Language Science Press, 2019
In: Language Science Press; (2019)
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