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» Unsupervised Relation Extraction From Web Documents
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SIGIR
2009
ACM
14 years 2 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
IJMSO
2006
105views more  IJMSO 2006»
13 years 8 months ago
Trust network-based filtering of aggregated claims
: On the semantic web, assertions may be aggregated from many sources, those aggregations filtered, reasoned over, aggregated with other aggregators, displayed, scraped, extracted,...
Jennifer Golbeck, Bijan Parsia
WWW
2005
ACM
14 years 8 months ago
The infocious web search engine: improving web searching through linguistic analysis
In this paper we present the Infocious Web search engine [23]. Our goal in creating Infocious is to improve the way people find information on the Web by resolving ambiguities pre...
Alexandros Ntoulas, Gerald Chao, Junghoo Cho
SEMCO
2008
IEEE
14 years 2 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
ER
2008
Springer
108views Database» more  ER 2008»
13 years 9 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene