Annotation of Fine-Grained Geographical Entities in German Texts

Authors Julián Moreno-Schneider , Melina Plakidis, Georg Rehm

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Julián Moreno-Schneider
  • DFKI GmbH, Berlin, Germany
Melina Plakidis
  • DFKI GmbH, Berlin, Germany
Georg Rehm
  • DFKI GmbH, Berlin, Germany

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Julián Moreno-Schneider, Melina Plakidis, and Georg Rehm. Annotation of Fine-Grained Geographical Entities in German Texts. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 11:1-11:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


We work on the creation of a corpus, crawled from the internet, on the Berlin district of Moabit, primarily meant for training NER systems in German and English. Typical NER corpora and corresponding systems distinguish persons, organisations and locations, but do not distinguish different types of location entities. For our tourism-inspired use case, we need fine-grained annotations for toponyms. In this paper, we outline the fine-grained classification of geographical entities, the resulting annotations and we present preliminary results on automatically tagging toponyms in a small, bootstrapped gold corpus.

Subject Classification

ACM Subject Classification
  • Information systems → Entity resolution
  • Information systems → Information extraction
  • Named Entity Recognition
  • Geographical Entities
  • Annotation


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