Title
Experiments on a multinomial language model versus Lucene's off-the-shelf ranking scheme and Rocchio query expansion (TEL@CLEF monolingual task)
Abstract
We describe our participation in the TEL@CLEF task of the CLEF 2008 ad-hoc track, where we measured the retrieval performance of the IR service that is currently under development as part of the DIGMAP project. DIGMAP's IR service is mostly based on Lucene, together with extensions for using query expansion and multinomial language modelling. In our runs, we experimented combinations of query expansion, Lucene's off-the-shelf ranking scheme and the ranking scheme based on multinomial language modelling. Results show that query expansion and multinomial language modelling both result in increased performance.
Year
DOI
Venue
2008
10.1007/978-3-642-04447-2_5
CLEF
Keywords
Field
DocType
off-the-shelf ranking scheme,ir service,retrieval performance,rocchio query expansion,multinomial language modelling,clef task,ranking scheme,clef monolingual task,multinomial language,increased performance,digmap project,query expansion,vector space model,stemming,language model
Off the shelf,Information retrieval,Query expansion,Ranking,Computer science,Multinomial distribution,Natural language processing,Artificial intelligence,Vector space model,Language modelling,Language model,Clef
Conference
Volume
ISSN
ISBN
5706
0302-9743
3-642-04446-8
Citations 
PageRank 
References 
2
0.41
4
Authors
3
Name
Order
Citations
PageRank
Jorge Machado131.12
Bruno Martins244134.58
José Luis Borbinha315120.02