Maud Ehrmann

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Related publications (34)

Extended Overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents

This paper presents an overview of the second edition of HIPE (Identifying Historical People, Places and other Entities), a shared task on named entity recognition and linking in multilingual historical documents. Following the success of the first CLEF-HI ...

CEUR-WS2022

Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents

Maud Ehrmann, Matteo Romanello

We present the HIPE-2022 shared task on named entity processing in multilingual historical documents. Following the success of the first CLEF-HIPE-2020 evaluation lab, this edition confronts systems with the challenges of dealing with more languages, learn ...

Springer International Publishing2022

Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers

Frédéric Kaplan, Maud Ehrmann, Sofia Ares Oliveira, Raphaël Barman

The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are multiplyin ...

2021

Named Entity Recognition and Classification in Historical Documents: A Survey

Maud Ehrmann

After decades of massive digitisation, an unprecedented amount of historical documents is available in digital format, along with their machine-readable texts. While this represents a major step forward with respect to preservation and accessibility, it al ...

2021

Explorer la presse numérisée : le projet Impresso

Maud Ehrmann

« Impresso – Media Monitoring of the Past » est un projet de recherche interdisciplinaire dans lequel une équipe d’historiens, de linguistes informaticiens et de designers collabore à la mise en données d’un corpus d’archives de presse numérisées. Les prin ...

2021

Datasets and Models for Historical Newspaper Article Segmentation

Maud Ehrmann, Sofia Ares Oliveira, Raphaël Barman

Dataset and models used and produced in the work described in the paper "Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers": https://infoscience.epfl.ch/record/282863?ln=en ...

2021

Language Resources for Historical Newspapers: the Impresso Collection

Maud Ehrmann, Matteo Romanello, Raphaël Barman

Following decades of massive digitization, an unprecedented amount of historical document facsimiles can now be retrieved and accessed via cultural heritage online portals. If this represents a huge step forward in terms of preservation and accessibility, ...

European Language Resources Association2020

CLEF-HIPE-2020 Shared Task Named Entity Datasets

Maud Ehrmann, Matteo Romanello

CLEF-HIPE-2020 (Identifying Historical People, Places and other Entities) is a evaluation campaign on named entity processing on historical newspapers in French, German and English, which was organized in the context of the impresso project and run as a CL ...

2020

Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers

Maud Ehrmann, Matteo Romanello

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 ...

CEUR-WS2020

Historical Newspaper Content Mining: Revisiting the impresso Project's Challenges in Text and Image Processing, Design and Historical Scholarship

Frédéric Kaplan, Maud Ehrmann, Matteo Romanello

Long abstract for a presentation at DH2020 (online). ...

ADHO2020

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Historical Newspaper Content Mining: Revisiting the impresso Project's Challenges in Text and Image Processing, Design and Historical Scholarship

Frédéric Kaplan, Maud Ehrmann, Matteo Romanello

Long abstract for a presentation at DH2020 (online). ...

ADHO2020