Sciweavers

Share
TREC
2008

Query Expansion for Noisy Legal Documents

9 years 1 months ago
Query Expansion for Noisy Legal Documents
The vocabulary of the TREC Legal OCR collection is noisy and huge. Standard techniques for improving retrieval performance such as content-based query expansion are ineffective for such document collection. In our work, we focused on exploiting metadata using blind relevance feedback, iterative improvement from the reference Boolean run, and the effects of using terms from different topic fields for automatic query formulation. This paper describes our methodologies and results.
Lidan Wang, Douglas W. Oard
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where TREC
Authors Lidan Wang, Douglas W. Oard
Comments (0)
books