The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...