Serbian NER&Beyond: The Archaic and the Modern Intertwinned

Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić


Abstract
In this work, we present a Serbian literary corpus that is being developed under the umbrella of the “Distant Reading for European Literary History” COST Action CA16204. Using this corpus of novels written more than a century ago, we have developed and made publicly available a Named Entity Recognizer (NER) trained to recognize 7 different named entity types, with a Convolutional Neural Network (CNN) architecture, having F1 score of ≈91% on the test dataset. This model has been further assessed on a separate evaluation dataset. We wrap up with comparison of the developed model with the existing one, followed by a discussion of pros and cons of the both models.
Anthology ID:
2021.ranlp-1.141
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
Month:
September
Year:
2021
Address:
Held Online
Venue:
RANLP
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Publisher:
INCOMA Ltd.
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Pages:
1252–1260
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URL:
https://aclanthology.org/2021.ranlp-1.141
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Cite (ACL):
Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, and Milica Ikonić Nešić. 2021. Serbian NER&Beyond: The Archaic and the Modern Intertwinned. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 1252–1260, Held Online. INCOMA Ltd..
Cite (Informal):
Serbian NER&Beyond: The Archaic and the Modern Intertwinned (Šandrih Todorović et al., RANLP 2021)
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PDF:
https://aclanthology.org/2021.ranlp-1.141.pdf