WSU-IR at TREC 2015 Clinical Decision Support Track: Joint Weighting of Explicit and Latent Medical Query Concepts from Diverse Sources
WSU-IR at TREC 2015 Clinical Decision Support Track: Joint Weighting of Explicit and Latent Medical Query Concepts from Diverse Sources
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发表时间：
2015-11
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通讯作者：
Saeid Balaneshinkordan;Alexander Kotov;Railan Xisto
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作者：
Saeid Balaneshinkordan;Alexander Kotov;Railan Xisto
翻译后摘要：本文介绍了WSU-IR组在TREC 2015年临床决策支持（CDS）轨道的参与。我们提出了一个基于Markov Random Fields的检索模型和一种优化方法，用于联合加权查询和PRF文档中的统计和语义单字、二元组和多短语概念，以及该模型的三个特定实例，我们使用这些实例来获得提交的运行。为每个任务在此轨道中。这些实例化考虑不同类型的概念，并使用主题的不同部分作为查询。
Abstract : This paper describes participation of WSU-IR group in TREC 2015 Clinical Decision Support (CDS) track. We present a Markov Random Fields-based retrieval model and an optimization method for jointly weighting statistical and semantic unigram, bigram and multi-phrase concepts from the query and PRF documents as well as three specific instantiations of this model that we used to obtain the runs submitted for each task in this track. These instantiations consider different types of concepts and use different parts of topics as queries.