Sciweavers

Share
CLEF
2004
Springer

UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models

9 years 3 months ago
UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach based on statistical language modeling. Our Adhoc retrieval work used the TAPIR toolkit developed in house by M Srikanth. Our approach focused on the validation and adaptation of the language model system to work in a multilingual environment and in exploring ways to merge results from multiple collections into a single list of results. We explored the use of a measure of query ambiguity, also known as clarity score, for merging results of the individual collections into a single list of retrieved documents. Our results indicate that the use of clarity scores normalized across queries gives statistically significant improvements over using a fixed merging order.
Miguel E. Ruiz, Munirathnam Srikanth
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where CLEF
Authors Miguel E. Ruiz, Munirathnam Srikanth
Comments (0)
books