Automatic Entity Recognition and Typing in Massive Text Data
Summary: Data-driven, domain-agnostic entity recognition and typing in massive text, automatically identifying spans and assigning fine-grained types. No annotated data or handcrafted features; rapid cross-domain, multilingual adaptation across news, forums, tweets, and biomedical text. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Xiang Ren
- 2. Ahmed El-Kishky
- 3. Heng Ji
- 4. Jiawei Han
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00064239035 |
| 365 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00025616694 |
| 420 | InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables | 2012 | SIGMOD | 0.00023700634 |
| 1,068 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00014316508 |
| 5,441 | Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach | 2013 | VLDB | 5.5024055e-05 |
| 7,913 | Mining Quality Phrases from Massive Text Corpora | 2015 | SIGMOD | 4.6139203e-05 |
| 11,962 | Scalable Topical Phrase Mining from Text Corpora | 2015 | VLDB | 4.1905499e-05 |
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