DocRicher: An Automatic Annotation System for Text Documents Using Social Media
Summary: DocRicher automatically annotates documents by breaking text into topical passages and querying social media for annotations. Four components: text analysis, query construction, data assignment, and user feedback; data fusion merges multi-context results and supports rating or manual annotation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Qiang Hu (National University of Singapore)
- 2. Qi Liu (National University of Singapore)
- 3. Xiaoli Wang (National University of Singapore)
- 4. Anthony K.H. Tung (National University of Singapore)
- 5. Shubham Goyal (National University of Singapore)
- 6. Jisong Yang (National University of Singapore)
BibTeX Citation
@inproceedings{hu_sigmod15,
title = {{DocRicher: An Automatic Annotation System for Text Documents Using Social Media}},
author = {Hu, Qiang and Liu, Qi and Wang, Xiaoli and Tung, Anthony K.H. and Goyal, Shubham and Yang, Jisong},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2735379},
url = {https://dl.acm.org/doi/10.1145/2723372.2735379},
year = {2015}
}
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 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 267 | Optimal Histograms with Quality Guarantees | 1998 | VLDB | 0.00022798161 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,048 | Automatic Entity Recognition and Typing in Massive Text Data | 2016 | SIGMOD |
| 2 | 5,246 | Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach | 2013 | VLDB |
| 3 | 4,494 | Structured Annotations of Web Queries | 2010 | SIGMOD |
| 4 | 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD |
| 5 | 12,546 | Improved Search for Socially Annotated Data | 2009 | VLDB |
| 6 | 11,980 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD |
| 7 | 13,774 | MANYASPECTS: A System for Highlighting Diverse Concepts in Documents | 2008 | VLDB |
| 8 | 13,339 | DocDB: A Database for Unstructured Document Analysis | 2025 | VLDB |
| 9 | 9,595 | SuDocu: Summarizing Documents by Example | 2020 | VLDB |
| 10 | 13,373 | QuoteInspector: Gaining Insight about Social Media Discussions | 2024 | VLDB |