SpeakNav: Voice-based Route Description Language Understanding for Template-driven Path Search
Summary: SpeakNav translates spoken, free-form route descriptions into POI–distance constraints using RT-BERT and template-driven path queries. Hybrid distance labeling, branch-and-bound search, and PB-tree indexing enable efficient route recommendation beyond fixed source/destination inputs. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Bolong Zheng (Huazhong University of Science and Technology)
- 2. Lei Bi (Huazhong University of Science and Technology)
- 3. Juan Cao (Huazhong University of Science and Technology)
- 4. Hua Chai (Didi Chuxing)
- 5. Jun Fang (Didi Chuxing)
- 6. Lu Chen (Zhejiang University)
- 7. Yunjun Gao (Zhejiang University)
- 8. Xiaofang Zhou (Hong Kong University of Science and Technology)
- 9. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{zheng_vldb21,
title = {{SpeakNav: Voice-based Route Description Language Understanding for Template-driven Path Search}},
author = {Zheng, Bolong and Bi, Lei and Cao, Juan and Chai, Hua and Fang, Jun and Chen, Lu and Gao, Yunjun and Zhou, Xiaofang and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3056--3068},
doi = {10.14778/3476311.3476383},
url = {https://doi.org/10.14778/3476311.3476383},
year = {2021}
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 195 | Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling | 2013 | SIGMOD | 0.00025813775 |
| 1,309 | An Experimental Study on Hub Labeling based Shortest Path Algorithms | 2018 | VLDB | 0.00011210911 |
| 3,794 | Keyword-aware Optimal Route Search | 2012 | VLDB | 7.1200794e-05 |
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