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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)

Paper ID
10738
Venue
VLDB
Year
2013
Pagerank
6.3012556e-05
Overall Rank
5,246 | 64.01%
DOI
10.14778/2536222.2536237

Incoming Non-self Citations Over Time

Authors

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}
}

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