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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 days ago
Learning to rank networked entities
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...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
CIKM
2007
Springer
15 years 6 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
CIKM
2009
Springer
15 years 6 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan
LREC
2010
211views Education» more  LREC 2010»
15 years 1 months ago
An Automatically Built Named Entity Lexicon for Arabic
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK)....
Mohammed Attia, Antonio Toral, Lamia Tounsi, Monic...
FLAIRS
2006
15 years 1 months ago
Learning Personalized Query Modifications
The continuous development of the Internet has resulted in an exponential increase in the amount of available information. A popular way to access this information is by submittin...
Erika E. Torres-Verdín, Manfred Huber