Path Ranking Algorithm

method ID: pathrankingalgorithm

Related Papers

Random Walk Inference and Learning in A Large Scale Knowledge Base

Authors: nan

Publication: TIPSTER (2011)

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We consider the problem of performing learn- ing and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference procedure based …...

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Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues

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Automatically constructed Knowledge Bases (KBs) are often incomplete and there is a gen- uine need to improve their coverage. Path Ranking Algorithm (PRA) is a recently pro- posed method which …...

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Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction

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We explore some of the practicalities of using random walk inference meth- ods, such as the Path Ranking Algorithm (PRA), for the task of knowledge base completion. We show that …...

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Knowledge Base Inference using Bridging Entities

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Large-scale Knowledge Bases (such as NELL, Yago, Freebase, etc.) are often sparse, i.e., a large number of valid rela- tions between existing entities are missing. Recent research have addressed this …...

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Knowledge Base Completion via Coupled Path Ranking

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Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for K- B completion. The path ranking algorith- m (PRA) is one of the most promising ap- proaches to this …...

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