Building an Icelandic Entity Linking Corpus
Computation and Language
2022-06-13 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2206.05014,
title = {Building an Icelandic Entity Linking Corpus},
author = {Steinunn Rut Friðriksdóttir and Valdimar Ágúst Eggertsson and Benedikt Geir Jóhannesson and Hjalti Daníelsson and Hrafn Loftsson and Hafsteinn Einarsson},
journal= {arXiv preprint arXiv:2206.05014},
year = {2022}
}
Comments
9 pages, 5 figures, submitted to Dataset Creation for Lower-Resourced Languages, an LREC 2022 Workshop, 9am-1pm June 24th, 2022