Conference proceeding
The University of Iowa at CLEF 2014: eHealth Task 3
CLEF2014 Working Notes, Vol.Vol-1180, pp.283-295
CLEF 2014 (Sheffield, UK, 09/15/2014–09/18/2014)
2014
Abstract
The task 3 of CLEF eHealth Evaluation lab aims to help laypeople get more accurate information from health related documents. In this task, we did several experiments and tried different technologies to improve the retrieval performance. We tried to clean the original dataset and did sentence level retrieval. We explored different parameter settings for pseudo relevance feedback. Description and Narrative was utilized to expand the query as well. We also modified Markov Random Field (MRF) model to expand the query using medical phrase only. In our training set (2013 test set), using those methods can significantly improve the retrieval performance by 8-15% from baseline. We submitted 4 runs. Results on 2014 test set suggest that the technologies we used except MRF have the potential to improve the performance for the top 5 retrieved results.
Details
- Title: Subtitle
- The University of Iowa at CLEF 2014: eHealth Task 3
- Creators
- Chao Yang - University of IowaSanmitra Bhattacharya - University of Iowa, Computer SciencePadmini Srinivasan - University of Iowa, Computer Science
- Resource Type
- Conference proceeding
- Publication Details
- CLEF2014 Working Notes, Vol.Vol-1180, pp.283-295
- Conference
- CLEF 2014 (Sheffield, UK, 09/15/2014–09/18/2014)
- Publisher
- CEUR-WS
- ISSN
- 1613-0073
- Language
- English
- Date published
- 2014
- Academic Unit
- Business Analytics; Computer Science; Nursing
- Record Identifier
- 9984006769002771
Metrics
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