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» Extracting key terms from noisy and multitheme documents
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ICWSM
2008
14 years 11 months ago
Mining and Visualizing Online Web Content Using BAM: Brand Association Map
In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conv...
Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jon...
91
Voted
BMCBI
2007
163views more  BMCBI 2007»
14 years 9 months ago
A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluati
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
WWW
2004
ACM
15 years 10 months ago
OntoMiner: bootstrapping ontologies from overlapping domain specific web sites
In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...
89
Voted
WWW
2007
ACM
15 years 10 months ago
Web object retrieval
The primary function of current Web search engines is essentially relevance ranking at the document level. However, myriad structured information about real-world objects is embed...
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen,...
87
Voted
WEBI
2009
Springer
15 years 4 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...