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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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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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In: http://infoscience.epfl.ch/record/292174 (2022)
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Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
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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
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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
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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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Shared Task on Named Entity Recognition and Linking on Historical Newspapers ...
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Shared Task on Named Entity Recognition and Linking on Historical Newspapers ...
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Named Entity Processing for Historical Texts
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In: http://infoscience.epfl.ch/record/268328 (2019)
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Abstract:
Recognition and identification of real-world entities is at the core of virtually any text mining application. As a matter of fact, referential units such as names of persons, locations and organizations underlie the semantics of texts and guide their interpretation. Around since the seminal Message Understanding Conference (MUC) evaluation cycle in the 1990s, named entity-related tasks have undergone major evolutions until now, from entity recognition and classification to entity disambiguation and linking. Recently, NE processing has been called upon to contribute to the domain of digital humanities, where massive digitization of historical documents is producing huge amounts of texts. De facto, NE processing tools are increasingly being used in the context of historical documents. Research activities in this domain target texts of different nature (e.g., publications by cultural institutions, state-related documents, genealogical data, historical newspapers) and different tasks (NE recognition and classification, entity linking, or both). Experiments involve different time periods (from 16th to 20th c.), focus on different domains, and use different typologies. This great variety demonstrates how many and varied the needs – and the challenges – are, but makes performance comparison difficult, not to say impossible. The objective of this tutorial is to provide the participants with essential knowledge with respect to a) NE processing in general and in DH, and b) how to apply NE recognition approaches.
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URL: https://impresso-project.ch/ https://github.com/impresso/named-entity-tutorial-dh2019 https://impresso.github.io/named-entity-tutorial-dh2019/ http://infoscience.epfl.ch/record/268328
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A Selection of Papers from the Digital Classicist Seminar Berlin (2012-2015) ...
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Code Aus Einem Forschungskontext Mit Clam In Einen Web-Service Verwandeln ...
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The Ancient Greek Dependency Treebank: Linguistic Annotation in a Teaching Environment
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Mambrini, Francesco (orcid:0000-0003-0834-7562). - : Ubiquity Press, 2016. : country:GBR, 2016. : place:London, 2016
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