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» Use of Wikipedia Categories in Entity Ranking
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SIGIR
2009
ACM
14 years 2 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang
CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
13 years 9 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool
LREC
2008
159views Education» more  LREC 2008»
13 years 9 months ago
Corpus Exploitation from Wikipedia for Ontology Construction
Ontology construction usually requires a domain-specific corpus for building corresponding concept hierarchy. The domain corpus must have a good coverage of domain knowledge. Wiki...
Gaoying Cui, Qin Lu, Wenjie Li, Yi-Rong Chen
WWW
2005
ACM
14 years 8 months ago
SemRank: ranking complex relationship search results on the semantic web
While the idea that querying mechanisms for complex relationships (otherwise known as Semantic Associations) should be integral to Semantic Web search technologies has recently ga...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang