mlsanityData to 7 Oct 2026

Graph-Structured Trajectory Extraction from Travelogues

arXiv 2410.16633 ↗First posted 22 Oct 2024cs.CL cs.AIcited by 1

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Abstract (arXiv)

Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lined up in a sequence especially when one location includes the other geographically. In this study, we propose a graph representation that retains information on the geographic hierarchy as well as the temporal order of visited locations, and have constructed a benchmark dataset for graph-structured trajectory extraction. The experiments with our baselines have demonstrated that it is possible to accurately predict visited locations and the order among them, but it remains a challenge to predict the hierarchical relations.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 44 references that are in the map. First posted on arXiv 22 Oct 2024.

Builds on

10 of 44 references.

References · 10

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  10. 2023Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotationcited by 2

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