Building an Icelandic Entity Linking Corpus
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Abstract (arXiv)
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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References · 7
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
- 2020Autoregressive Entity Retrievalcited by 333
- 2020Entity Linking in 100 Languagescited by 52
- 2021Multilingual Autoregressive Entity Linkingcited by 50
- 2017Named Entity Disambiguation for Noisy Textcited by 24
- 2021Reddit Entity Linking Datasetcited by 7
- 2020Language Technology Programme for Icelandic 2019-2023cited by 6
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