Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity mentions, and presents a Japanese travelogue dataset designed for evaluating document-level geoparsing systems. Our dataset comprises 200 travelogue documents with rich geo-entity information: 12,171 mentions, 6,339 coreference clusters, and 2,551 geo-entities linked to geo-database entries.
@article{arxiv.2305.13844,
title = {Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation},
author = {Shohei Higashiyama and Hiroki Ouchi and Hiroki Teranishi and Hiroyuki Otomo and Yusuke Ide and Aitaro Yamamoto and Hiroyuki Shindo and Yuki Matsuda and Shoko Wakamiya and Naoya Inoue and Ikuya Yamada and Taro Watanabe},
journal= {arXiv preprint arXiv:2305.13844},
year = {2023}
}