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An Axiomatic Approach to Exploit Term Dependenciesin Language Model

机译:语言模型中术语依赖的公理化方法

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One of important problems of dependence retrieval model is the challenge to integrate both single words and dependencies in one weighting schema. Although there are many retrieval models that exploit term dependencies in language modeling framework, seldom of them simultaneously study the problem on different query types, e.g., short queries and verbose queries. In this paper, we derive an axiomatic dependence model by defining several basic desirable constraints that a retrieval model should meet. The experiment results show that our model significantly and robustly improves retrieval accuracy over the baseline (unigram model) in verbose queries and achieves better performance than some state-of-art dependence models.
机译:依存关系检索模型的重要问题之一是将单个单词和依存关系集成到一个加权方案中的挑战。尽管有许多利用语言建模框架中术语依赖的检索模型,但很少有它们同时研究不同查询类型的问题,例如短查询和冗长查询。在本文中,我们通过定义检索模型应满足的几个基本理想约束来推导出公理依赖模型。实验结果表明,与冗长的依存关系模型相比,我们的模型可在健壮查询中显着,稳健地提高基线(unigram模型)的检索准确性,并获得更好的性能。

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