Papers by Hiroyuki Otomo

2 papers
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation (2024.findings-eacl)

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Challenge: et al., 2006) considers geographic relatedness among geo-entity mentions in document-level geoparsing.
Approach: They present a Japanese travelogue dataset that considers geographic relatedness among geo-entity mentions.
Outcome: The proposed dataset includes 200 travelogue documents with rich geo-entity information . it shows that human activities, mobility, and events are often described with natural language expressions of locations or geographic entities (geo-entities)
Graph-Structured Trajectory Extraction from Travelogues (2025.acl-long)

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Challenge: Existing studies treat travelogues as sequences of visited locations, but they lack a benchmark dataset.
Approach: They propose to represent the trajectory as a graph that can capture the hierarchy as well as the visiting order and construct a benchmark dataset for the extraction.
Outcome: The proposed dataset shows that even naive baseline systems can predict visited locations and the visiting order between them, while it is more challenging to predict the hierarchical relations.

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