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Mining Quality Phrases from Massive Text Corpora

Summary: Proposes a scalable framework for mining quality phrases from massive text corpora by integrating phrasal segmentation with limited supervision. Demonstrates near-human phrase quality and linear time/space scalability, validated on large corpora. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5088
Venue
SIGMOD
Year
2015
Pagerank
4.6139203e-05
Overall Rank
7,913 | 45.01%
DOI
10.1145/2723372.2751523

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

Rank Cited Paper Year Venue Pagerank
3,261 Multidimensional Content eXploration 2008 VLDB 7.3088095e-05
5,531 Towards the Web of Concepts: Extracting Concepts from Large Datasets 2010 VLDB 5.4562198e-05
6,686 Interesting-Phrase Mining for Ad-Hoc Text Analytics 2010 VLDB 4.958137e-05
11,962 Scalable Topical Phrase Mining from Text Corpora 2015 VLDB 4.1905499e-05
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