This paper introduces probabilistic similarity logic (PSL), a general-purpose framework for joint reasoning about similarity in relational domains that incorporates probabilistic reasoning about similarities and relational structure in a principled way.
Mar 15, 2012
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We propose a general- purpose framework, called probabilistic similarity logic. (PSL), as a first attempt at a unifying framework for reasoning about CLIP ...
This paper introduces probabilistic similarity logic (PSL), a general-purpose framework for joint reasoning about similarity in relational domains that ...
This paper introduces probabilistic similarity logic (PSL), a general-purpose framework for joint reason- ing about similarity in relational domains that.
This paper introduces probabilistic similarity logic (PSL), a general-purpose framework for joint reasoning about similarity in relational domains that ...
Probabilistic similarity logic (PSL) is introduced, a general-purpose framework for joint reasoning about similarity in relational domains that incorporates ...
Probabilistic Soft Logic (PSL) is a re- cently developed framework for proba- bilistic logic. We use PSL to combine logical and distributional ...
The Probabilistic logic offers a scoring technique to determine a deduplication result of a match, non-match, or unsure (do not know). · All implemented string ...
A similarity network is a tool for constructing an influence diagram, whereas a partition is a tool for assessing the probabilities associated with an influence ...
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains.