Sherlock: A System for Interactive Summarization of Large Text Collections
Summary: Sherlock enables interactive exploration and summarization of large, heterogeneous text collections, targeting both data scientists and novices. Its approximate summarization model supports user feedback at interactive speed, unlike existing batch-oriented systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Avinesh P.V.S. (Technical University of Darmstadt)
- 2. Benjamin Hättasch (Technical University of Darmstadt)
- 3. Orkan Özyurt (Technical University of Darmstadt)
- 4. Carsten Binnig (Brown University; Technical University of Darmstadt)
- 5. Christian M. Meyer (Technical University of Darmstadt)
BibTeX Citation
@article{pvs_vldb18,
title = {{Sherlock: A System for Interactive Summarization of Large Text Collections}},
author = {P.V.S., Avinesh and Hättasch, Benjamin and Özyurt, Orkan and Binnig, Carsten and Meyer, Christian M.},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1902--1905},
doi = {10.14778/3229863.3236220},
url = {https://doi.org/10.14778/3229863.3236220},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,136 | Combining User Interaction, Speculative Query Execution and Sampling in the DICE System | 2014 | VLDB | 9.1126926e-05 |
| 2,185 | Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets | 2016 | SIGMOD | 9.0026006e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD |
| 2 | 7,633 | AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets | 2019 | VLDB |
| 3 | 13,314 | SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search | 2025 | SIGMOD |
| 4 | 4,886 | Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs | 2024 | VLDB |
| 5 | 4,420 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB |
| 6 | 1,532 | Summarizing Relational Databases | 2009 | VLDB |
| 7 | 1,702 | Schema Summarization | 2006 | VLDB |
| 8 | 8,191 | Probabilistic Database Summarization for Interactive Data Exploration | 2017 | VLDB |
| 9 | 4,631 | Interactive Summarization and Exploration of Top Aggregate Query Answers | 2018 | VLDB |
| 10 | 9,595 | SuDocu: Summarizing Documents by Example | 2020 | VLDB |