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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine... 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) BASE Show details 2 Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ... Ehrmann, Maud; Bunout, Estelle; Clematide, Simon. - : Zenodo, 2022 BASE Show details 3 Grenzüberschreitendes Textmining von Historischen Zeitungen - Das impresso-Projekt zwischen Text- und Bildverarbeitung, Design und Geschichtswissenschaft ... Ehrmann, Maud; Bunout, Estelle; Clematide, Simon. - : Zenodo, 2022 BASE Show details 4 HIPE-2022 Shared Task Named Entity Datasets ... Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine. - : Zenodo, 2022 BASE Show details 5 HIPE-2022 Shared Task Named Entity Datasets ... Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine. - : Zenodo, 2022 BASE Show details 6 HIPE-2022 Shared Task Named Entity Datasets ... Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine. - : Zenodo, 2022 BASE Show details 7 HIPE-2022 Shared Task Named Entity Datasets ... Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine. - : Zenodo, 2022 BASE Show details 8 HIPE-2022 Shared Task Named Entity Datasets Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine... In: http://infoscience.epfl.ch/record/292174 (2022) BASE Show details 9 Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Flückiger, Alex... In: http://infoscience.epfl.ch/record/281054 (2020) BASE Show details 10 Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Bircher, Stefan... In: http://infoscience.epfl.ch/record/277015 (2020) BASE Show details 11 Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Flückiger, Alex... In: http://infoscience.epfl.ch/record/280047 (2020) BASE Show details 12 Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Bircher, Stefan; Clematide, Simon. - 2020 Abstract: Since its introduction some twenty years ago, named entity (NE) processing has become an essential component of virtually any text mining application and has undergone major changes. Recently, two main trends characterise its developments: the adoption of deep learning architectures and the consideration of textual material originating from historical and cultural heritage collections. While the former opens up new opportunities, the latter introduces new challenges with heterogeneous, historical and noisy inputs. If NE processing tools are increasingly being used in the context of historical documents, performance values are below the ones on contemporary data and are hardly comparable. In this context, this paper introduces the CLEF 2020 Evaluation Lab HIPE (Identifying Historical People, Places and other Entities) on named entity recognition and linking on diachronic historical newspaper material in French, German and English. Our objective is threefold: strengthening the robustness of existing approaches on non-standard inputs, enabling performance comparison of NE processing on historical texts, and, in the long run, fostering efficient semantic indexing of historical documents in order to support scholarship on digital cultural heritage collections. Keyword: Article URL: https://doi.org/10.1007/978-3-030-45442-5_68 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148064/ BASE Hide details 13 Shared Task on Named Entity Recognition and Linking on Historical Newspapers ... Maud, Ehrmann; Clematide, Simon; Romanello, Matteo. - : Zenodo, 2019 BASE Show details 14 Shared Task on Named Entity Recognition and Linking on Historical Newspapers ... Maud, Ehrmann; Clematide, Simon; Romanello, Matteo. - : Zenodo, 2019 BASE Show details 15 Named Entity Processing for Historical Texts Ehrmann, Maud; Romanello, Matteo; Clematide, Simon In: http://infoscience.epfl.ch/record/268328 (2019) BASE Show details

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