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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 Page: 1 2 Hits 1 – 20 of 23 1 Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine...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... In: http://infoscience.epfl.ch/record/292174 (2022) BASE Show details 5 Explorer la presse numérisée : le projet Impresso Ehrmann, Maud In: http://infoscience.epfl.ch/record/292173 (2022) BASE Show details 6 Historical Newspaper Content Mining: findings from the impresso project ... Ehrmann, Maud; Bunout, Estelle. - : Zenodo, 2021 BASE Show details 7 Historical Newspaper Content Mining: findings from the impresso project ... Ehrmann, Maud; Bunout, Estelle. - : Zenodo, 2021 BASE Show details 8 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 BASE Show details 9 Deep-diving in NLP enhanced digitised newspapers. A hands-on session with the impresso interface ... Bunout, Estelle; Ehrmann, Maud; During, Marten. - : Zenodo, 2020 BASE Show details 10 Deep-diving in NLP enhanced digitised newspapers. A hands-on session with the impresso interface ... Bunout, Estelle; Ehrmann, Maud; During, Marten. - : Zenodo, 2020 BASE Show details 11 Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Flückiger, Alex; Clematide, Simon In: http://infoscience.epfl.ch/record/281054 (2020) Abstract: This paper presents an extended overview of the first edition of HIPE (Identifying Historical People, Places and other Entities), a pioneering shared task dedicated to the evaluation of named entity processing on historical newspapers in French, German and English. 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. In this context, the objective of HIPE, run as part of the CLEF 2020 conference, 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. Tasks, corpora, and results of 13 participating teams are presented. Compared to the condensed overview [31], this paper includes further details about data generation and statistics, additional information on participating systems, and the presentation of complementary results. URL: https://zenodo.org/record/3604227 https://infoscience.epfl.ch/record/281054/files/paper_255-2.pdf https://doi.org/10.5281/zenodo.4117566 https://zenodo.org/record/3677171 http://ceur-ws.org/Vol-2696/ http://infoscience.epfl.ch/record/281054 https://impresso.github.io/CLEF-HIPE-2020/ BASE Hide details 12 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 13 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 14 Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers Ehrmann, Maud; Romanello, Matteo; Bircher, Stefan. - 2020 BASE Show details 15 Cross-lingual linking of multi-word entities and language-dependent learning of multi-word entity patterns ... Jacquet, Guillaume; Ehrmann, Maud; Piskorski, Jakub. - : Zenodo, 2019 BASE Show details 16 Cross-lingual linking of multi-word entities and language-dependent learning of multi-word entity patterns ... Jacquet, Guillaume; Ehrmann, Maud; Piskorski, Jakub. - : Zenodo, 2019 BASE Show details 17 Named Entity Processing for Historical Texts Ehrmann, Maud; Romanello, Matteo; Clematide, Simon In: http://infoscience.epfl.ch/record/268328 (2019) BASE Show details 18 Linked Lexical Knowledge Bases Foundations and Applications Ehrmann, Maud In: http://infoscience.epfl.ch/record/230794 (2017) BASE Show details 19 Named Entity Resources - Overview and Outlook Ehrmann, Maud; Nouvel, Damien; Rosset, Sophie In: Language Resources and Evaluation ; https://hal-inalco.archives-ouvertes.fr/hal-01359441 ; Language Resources and Evaluation, 2016, Portorož, Slovenia (2016) BASE Show details 20 Navigating through 200 years of historical newspapers Rochat, Yannick; Ehrmann, Maud; Buntinx, Vincent... In: http://infoscience.epfl.ch/record/218707 (2016) BASE Show details Page: 1 2

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