24 search results - page 2 / 5 » Generalizing from relevance feedback using named entity wild... |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
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...
BMCBI
2005
13 years 5 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
CLEF
2005
Springer
13 years 10 months ago
2005
Springer
This paper reports results for the University of Maryland’s participation in CLEF-2005 Cross-Language Speech Retrieval track. Techniques that were tried include: (1) document ex...
JCDL
2010
ACM
13 years 10 months ago
2010
ACM
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...