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Probabilistic soft logic

Known as: PSL 
Probabilistic soft logic (PSL) is a framework for collective, probabilistic reasoning in relational domains. PSL uses first order logic rules as a… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Statistical relational frameworks such as Markov logic networks and probabilistic soft logic (PSL) encode model structure with… Expand
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Highly Cited
2017
Highly Cited
2017
A fundamental challenge in developing high-impact machine learning technologies is balancing the need to model rich, structured… Expand
2016
2016
Global information such as event-event association, and latent local information such as fine-grained entity types, are crucial… Expand
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2016
2016
Lexical inference problem is a significant component of some recent core AI and NLP research problems like machine reading and… Expand
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Highly Cited
2015
Highly Cited
2015
In this work, we build an entity/event-level sentiment analysis system, which is able to recognize and infer both explicit and… Expand
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Highly Cited
2014
Highly Cited
2014
Probabilistic Soft Logic (PSL) is a recently developed framework for probabilistic logic. We use PSL to combine logical and… Expand
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Highly Cited
2013
Highly Cited
2013
Massive open online courses (MOOCs) attract a large number of student registrations, but recent studies have shown that only a… Expand
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Review
2012
Review
2012
Probabilistic soft logic (PSL) is a framework for collective, probabilistic reasoning in relational domains. PSL uses first order… Expand
2012
2012
Trust plays a key role in social interactions. Explicitly modeling trust is therefore an important aspect of social network… Expand
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2010
2010
We introduce the concept of a decision-driven model, a probabilistic model that reasons directly over the uncertain information… Expand
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