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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents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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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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Abstract:
These are the slides from the 2021 Workshop ‘Historical Newspaper Content Mining: findings from the impresso project’, which was part of the series ‘Applying and deploying Artificial Intelligence (AI) in GLAMs’ organised by AI4LAM (Teaching and Learning Working Group) and co-hosted by LIBER and the BnF. Extracting content via text mining and making it accessible for scholarly research has been often discussed in the past decade, but the noisy output has stiffened its realisation. ‘Media Monitoring of the Past’ is an interdisciplinary research project in which a team of computational linguists, designers and historians seek to integrate text mining in historical research workflows. The project uses the datafication of a multilingual corpus of digitized historical newspapers from various transnational European collections. The findings of this project have been used for the creation of the impresso app, which allows researchers to explore, use, and share the historical texts from the project’s corpus. The aim ...
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URL: https://zenodo.org/record/4748905 https://dx.doi.org/10.5281/zenodo.4748905
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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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