NL2CM: A Natural Language Interface to Crowd Mining
Summary: NL2CM translates natural language questions into crowd mining queries, pairing general data with unrecorded personal data in a modular system. It adds NL-to-query modules, interactive disambiguation, and outputs SPARQL-based OASSIS-QL queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yael Amsterdamer
- 2. Anna Kukliansky
- 3. Tova Milo
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 206 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034667032 |
| 4,416 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD | 6.2039225e-05 |
| 7,224 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 4.7959024e-05 |
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