{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/arukikata-travelogue-dataset-with-geographic","title":"Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation","arxiv_id":"2305.13844","date":"2023-05-23","proceeding":null,"authors":["Shohei Higashiyama","Hiroki Ouchi","Hiroki Teranishi","Hiroyuki Otomo","Yusuke Ide","Aitaro Yamamoto","Hiroyuki Shindo","Yuki Matsuda","Shoko Wakamiya","Naoya Inoue","Ikuya Yamada","Taro Watanabe"],"abstract":"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.","url_abs":"https://arxiv.org/abs/2305.13844v1","url_pdf":"https://arxiv.org/pdf/2305.13844v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"arukikata-travelogue-dataset-with-geographic","repo_url":"https://github.com/naist-nlp/atd-mcl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}