Conference paper
University of Iowa at TREC 2008 Legal and Relevance Feedback Tracks
University of Iowa at TREC (Iowa City, IA, USA, 11/01/2008)
11/01/2008
Abstract
This is the second year that our research group has participated in the TREC Legal Track. Our ad hoc retrieval system has been modified to extract the additional Boolean query fields added to the 2008 topics, and to privilege documents found by the Boolean reference run when conducting our queries. We have also submitted runs that fuse the results from existing runs. For the relevance feedback task, our system uses ranking information of relevant and non-relevant documents from previously submitted runs to the TREC Legal Track to train a classifier. The classifier is applied to the remaining unjudged documents to create a new ranked list. This approach is applied to sets of input runs, including a hybrid run where a classifier trained on one set of runs is applied to the unjudged documents from another set of runs.
Details
- Title: Subtitle
- University of Iowa at TREC 2008 Legal and Relevance Feedback Tracks
- Creators
- Brian AlmquistYelena A Mejova - University of Iowa, Computer ScienceViet Ha-ThucPadmini Srinivasan - University of Iowa, Computer Science
- Resource Type
- Conference paper
- Conference
- University of Iowa at TREC (Iowa City, IA, USA, 11/01/2008)
- Number of pages
- 1-13
- Comment
- Part of ISBN: 1048776X
- Language
- English
- Date published
- 11/01/2008
- Academic Unit
- Business Analytics; Computer Science; Nursing
- Record Identifier
- 9984012900302771
Metrics
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