Sherlock: A System for Interactive Summarization of Large Text Collections
Summary: Sherlock is an interactive system for summarizing large text collections. It uses an approximate, fast summarization model with interactive feedback to deliver guaranteed, near real-time summaries, unlike offline baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Avinesh P.V.S.
- 2. Benjamin Haettasch
- 3. Orkan Ozyurt
- 4. Carsten Binnig
- 5. Christian M. Meyer
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,849 | Combining User Interaction, Speculative Query Execution and Sampling in the DICE System | 2014 | VLDB | 0.00010331082 |
| 2,111 | Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets | 2016 | SIGMOD | 9.5276068e-05 |
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