2015 MiningQualityPhrasesfromMassive

• (Liu, Shang et al., 2015) ⇒ Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, and Jiawei Han. (2015). “Mining Quality Phrases from Massive Text Corpora.” In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. ISBN:978-1-4503-2758-9 doi:10.1145/2723372.2751523

Subject Headings: SegPhrase Segmenter, AutoPhrase, Text Segmentation, Phrasal Chunking.

Notes

• Slides: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/sigmod15SegPhrase.pdf

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Mining+Quality+Phrases+from+Massive+Text+Corpora
• http://dl.acm.org/citation.cfm?id=2723372.2751523&preflayout=flat#citedby

2018

• (Shang et al., 2018) ⇒ Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, and Jiawei Han. (2018). “Automated Phrase Mining from Massive Text Corpora.” In: IEEE Transactions on Knowledge and Data Engineering Journal, PP(99). doi:10.1109/TKDE.2018.2812203

Quotes

Abstract

Text data are ubiquitous and play an essential role in big data applications. However, text data are mostly unstructured. Transforming unstructured text into structured units (e.g., semantically meaningful phrases) will substantially reduce semantic ambiguity and enhance the power and efficiency at manipulating such data using database technology. Thus mining quality phrases is a critical research problem in the field of databases. In this paper, we propose a new framework that extracts quality phrases from text corpora integrated with phrasal segmentation. The framework requires only limited training but the quality of phrases so generated is close to human judgment. Moreover, the method is scalable: both computation time and required space grow linearly as corpus size increases. Our experiments on large text corpora demonstrate the quality and efficiency of the new method.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 MiningQualityPhrasesfromMassive	Chi Wang Jialu Liu Xiang Ren Jingbo Shang Jiawei Han			Mining Quality Phrases from Massive Text Corpora				10.1145/2723372.2751523		2015