Arukikata Travelogue Dataset with Geographic Entity Mention,
  Coreference, and Link Annotation
Shohei Higashiyama Hiroki Ouchi Hiroki Teranishi Hiroyuki Otomo Yusuke Ide Aitaro Yamamoto Hiroyuki Shindo Yuki Matsuda Shoko Wakamiya Naoya Inoue Ikuya Yamada Taro Watanabe
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.