Valdimar Ágúst Eggertsson

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2022

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Building an Icelandic Entity Linking Corpus
Steinunn Rut Friðriksdóttir | Valdimar Ágúst Eggertsson | Benedikt Geir Jóhannesson | Hjalti Daníelsson | Hrafn Loftsson | Hafsteinn Einarsson
Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference

In this paper, we present the first Entity Linking corpus for Icelandic. We describe our approach of using a multilingual entity linking model (mGENRE) in combination with Wikipedia API Search (WAPIS) to label our data and compare it to an approach using WAPIS only. We find that our combined method reaches 53.9% coverage on our corpus, compared to 30.9% using only WAPIS. We analyze our results and explain the value of using a multilingual system when working with Icelandic. Additionally, we analyze the data that remain unlabeled, identify patterns and discuss why they may be more difficult to annotate.
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