On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model

arXiv: Information Retrieval, Volume abs/1805.00152, 2018.

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Abstract:

The sequential dependence model (SDM) is a popular retrieval model which is based on the theory of probabilistic graphical models. While it was originally introduced by Metzler and Croft as a Markov Random Field (aka discriminative probabilistic model), in this paper we demonstrate that it is equivalent to a generative probabilistic model...More

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