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2022 | OriginalPaper | Chapter

Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents

Authors : Maud Ehrmann, Matteo Romanello, Antoine Doucet, Simon Clematide

Published in: Advances in Information Retrieval

Publisher: Springer International Publishing

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Abstract

We present the HIPE-2022 shared task on named entity processing in multilingual historical documents.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, learning domain-specific entities, and adapting to diverse annotation tag sets. HIPE-2022 is part of the ongoing efforts of the natural language processing and digital humanities communities to adapt and develop appropriate technologies to efficiently retrieve and explore information from historical texts. On such material, however, named entity processing techniques face the challenges of domain heterogeneity, input noisiness, dynamics of language, and lack of resources. In this context, the main objective of the evaluation lab is to gain new insights into the transferability of named entity processing approaches across languages, time periods, document types, and annotation tag sets.

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previous chapter Overview of Touché 2022: Argument Retrieval

next chapter CLEF Workshop JOKER: Automatic Wordplay and Humour Translation

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Classical commentaries are scholarly publications dedicated to the in-depth analysis and explanation of ancient literary works. As such, they aim to facilitate the reading and understanding of a given literary text. More information on the HIPE-2022 classical commentaries corpus in Sect. 3.2.

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Title: Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
Authors: Maud Ehrmann
Matteo Romanello
Antoine Doucet
Simon Clematide
Publisher: Springer International Publishing
Book: Advances in Information Retrieval
Print ISBN: 978-3-030-99738-0

Electronic ISBN: 978-3-030-99739-7

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-99739-7_44

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