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» Using multiple ontologies in information extraction
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DAGSTUHL
2006
14 years 11 months ago
Automatic Meaning Discovery Using Google
We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted proble...
Rudi Cilibrasi, Paul M. B. Vitányi
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 4 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
15 years 10 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
ACL
2009
14 years 7 months ago
Mining User Reviews: from Specification to Summarization
This paper proposes a method to extract product features from user reviews and generate a review summary. This method only relies on product specifications, which usually are easy...
Xinfan Meng, Houfeng Wang
ICTAI
2008
IEEE
15 years 4 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty