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» Unsupervised Relation Extraction From Web Documents
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ICDE
2009
IEEE
131views Database» more  ICDE 2009»
14 years 9 months ago
Exploring a Few Good Tuples from Text Databases
Information extraction from text databases is a useful paradigm to populate relational tables and unlock the considerable value hidden in plain-text documents. However, information...
Alpa Jain, Divesh Srivastava
IALP
2010
13 years 3 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 1 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
WWW
2001
ACM
14 years 8 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 2 months ago
Robust web extraction: an approach based on a probabilistic tree-edit model
On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
Nilesh N. Dalvi, Philip Bohannon, Fei Sha