Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach
Summary: End-to-end industrial pipeline for extracting, Wikipedia-linking, classifying, and tagging social-media entities at Twitter-firehose scale. Its distinctive design interleaves tasks over a real-time Wikipedia knowledge base, exploiting context and social signals for improved accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rohit Kumar (Walmart Labs)
- 2. Digvijay S. Lamba (Walmart Labs)
- 3. Nikesh Garera (Walmart Labs)
- 4. Mitul Tiwari (LinkedIn)
- 5. Xiaoyong Chai (Walmart Labs)
- 6. Sanjib Das (University of Wisconsin; Walmart Labs)
- 7. Sri Subramaniam (Walmart Labs)
- 8. Anand Rajaraman (Cambrian Ventures)
- 9. Venky Harinarayan (Cambrian Ventures)
- 10. AnHai Doan (University of Wisconsin; Walmart Labs)
BibTeX Citation
@article{kumar_vldb13,
title = {{Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach}},
author = {Kumar, Rohit and Lamba, Digvijay S. and Garera, Nikesh and Tiwari, Mitul and Chai, Xiaoyong and Das, Sanjib and Subramaniam, Sri and Rajaraman, Anand and Harinarayan, Venky and Doan, AnHai},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
pages = {1126--1137},
doi = {10.14778/2536222.2536237},
url = {https://doi.org/10.14778/2536222.2536237},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 530 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00016855162 |
| 6,187 | Why Big Data Industrial Systems Need Rules and What We Can Do About It | 2015 | SIGMOD | 5.85747e-05 |
| 9,468 | InsightNotes: Summary-Based Annotation Management in Relational Databases | 2014 | SIGMOD | 5.1716372e-05 |
| 12,009 | TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs | 2021 | VLDB | 4.9793485e-05 |
| 12,343 | Automatic Entity Recognition and Typing in Massive Text Data | 2016 | SIGMOD | 4.9793485e-05 |
| 12,400 | Even Metadata is Getting Big: Annotation Summarization using InsightNotes | 2015 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00038222149 |
| 735 | Automatic segmentation of text into structured records | 2001 | SIGMOD | 0.00014373044 |
| 1,794 | Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach | 2007 | VLDB | 9.6220467e-05 |
| 2,428 | Building, Maintaining, and Using Knowledge Bases: A Report from the Trenches | 2013 | SIGMOD | 8.4815756e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,836 | Improved Search for Socially Annotated Data | 2009 | VLDB |
| 2 | 12,609 | Surfacing Time-critical Insights from Social Media | 2012 | SIGMOD |
| 3 | 12,513 | A Social Network Database that Learns How to Answer Queries | 2013 | CIDR |
| 4 | 9,259 | Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream | 2013 | VLDB |
| 5 | 12,437 | Structured Analytics in Social Media | 2015 | VLDB |
| 6 | 12,278 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD |
| 7 | 7,010 | Partitioning and Ranking Tagged Data Sources | 2013 | VLDB |
| 8 | 12,343 | Automatic Entity Recognition and Typing in Massive Text Data | 2016 | SIGMOD |
| 9 | 12,009 | TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs | 2021 | VLDB |
| 10 | 5,717 | Microblog Entity Linking with Social Temporal Context | 2015 | SIGMOD |