Sevi: Speech-to-Visualization through Neural Machine Translation
Summary: Sevi is an end-to-end Speech-to-Visualization system mapping natural language or speech to visualizations via ncNet, a neural MT model trained on nvBench. It couples Speech2Text with Text2VIS to enable cross-domain visualization synthesis, demonstrated on COVID-19 and NBA datasets across nvBench’s 105 domains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiawei Tang
- 2. Yuyu Luo
- 3. Mourad Ouzzani
- 4. Guoliang Li
- 5. Hongyang Chen
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,666 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 6.8606092e-05 |
| 3,973 | HAIChart: Human and AI Paired Visualization System | 2024 | VLDB | 6.5721521e-05 |
| 8,263 | Learned Data-aware Image Representations of Line Charts for Similarity Search | 2023 | SIGMOD | 4.5414364e-05 |
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
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 |
|---|---|---|---|---|
| 4,829 | Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks | 2021 | SIGMOD | 5.8890126e-05 |
| 5,493 | DeepEye: Creating Good Data Visualizations by Keyword Search | 2018 | SIGMOD | 5.4773922e-05 |
| 13,296 | DeepTrack: Monitoring and Exploring Spatio-Temporal Data – A Case of Tracking COVID-19 – | 2020 | VLDB | - |
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