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» Integrating Document Features for Entity Ranking
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JCDL
2010
ACM
259views Education» more  JCDL 2010»
13 years 10 months ago
Exploiting time-based synonyms in searching document archives
Query expansion of named entities can be employed in order to increase the retrieval effectiveness. A peculiarity of named entities compared to other vocabulary terms is that they...
Nattiya Kanhabua, Kjetil Nørvåg
BMCBI
2006
195views more  BMCBI 2006»
13 years 5 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
SIGIR
2004
ACM
13 years 10 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
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 7 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
CIKM
2010
Springer
13 years 3 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang