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Graph-Structured Trajectory Extraction from Travelogues

Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Main:10 Pages
5 Figures
Bibliography:2 Pages
16 Tables
Appendix:3 Pages
Abstract

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.

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