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TextCube: Automated Construction and Multidimensional Exploration

Summary: TextCube automates multidimensional text data cube construction for scalable exploration. Weakly-supervised, domain-independent, language-agnostic methods yield high-quality TextCubes from massive corpora, enabling cross-domain, multidimensional analysis. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11915
Venue
VLDB
Year
2019
Pagerank
4.3881065e-05
Overall Rank
9,136 | 36.45%
DOI
10.14778/3352063.3352113

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
4,934 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 5.8198826e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
7,912 Mining Quality Phrases from Massive Text Corpora 2015 SIGMOD 4.6183486e-05
8,944 A Probabilistic Model for Linking Named Entities in Web Text with Heterogeneous Information Networks 2014 SIGMOD 4.4258255e-05
11,954 Scalable Topical Phrase Mining from Text Corpora 2015 VLDB 4.1945683e-05
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