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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents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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Abstract:
HIPE-2022 datasets used for the HIPE 2022 shared task on named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents . HIPE-2022 datasets are based on six primary datasets assembled and prepared for the shared task. Primary datasets are composed of historical newspapers and classic commentaries covering ca. 200 years, feature several languages and different entity tag sets and annotation schemes. They originate from several European cultural heritage projects, from HIPE organizers’ previous research project, and from the previous HIPE-2020 campaign. Some are already published, others are released for the first time for HIPE-2022. The HIPE-2022 shared task assembles and prepares these primary datasets in HIPE-2022 release(s), which correspond to a single package composed of neatly structured and homogeneously formatted files. Primary datasets undergo the following preparation steps: conversion to the HIPE format (with correction of data inconsistencies and ... : New releases are planned. Check the HIPE-2022 website for updates. ...
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Keyword:
Digital Humanities; Evaluation; Historical Documents; Information Extraction; Named Entity Linking; Named Entity Recognition
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URL: https://zenodo.org/record/6375600 https://dx.doi.org/10.5281/zenodo.6375600
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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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Explorer la presse numérisée : le projet Impresso
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In: http://infoscience.epfl.ch/record/292173 (2022)
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Historical Newspaper Content Mining: findings from the impresso project ...
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Historical Newspaper Content Mining: findings from the impresso project ...
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More Data and New Tools. Advances in Parsing the Index Thomisticus Treebank
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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
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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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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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