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EMNLP
2010

Positional Language Models for Clinical Information Retrieval

9 years 9 months ago
Positional Language Models for Clinical Information Retrieval
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Comparison (C) and Outcome (O). However, no test collection is available to evaluate such framework in information retrieval. In this work, we first present the construction of a large test collection extracted from systematic literature reviews. We then describe an analysis of the distribution of PECO elements throughout the relevant documents and propose a language modeling approach that uses these distributions as a weighting strategy. In our experiments carried out on a collection of
Florian Boudin, Jian-Yun Nie, Martin Dawes
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where EMNLP
Authors Florian Boudin, Jian-Yun Nie, Martin Dawes
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