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Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
TLDR
We consider the problem of applying embedding techniques to KGs extracted from text, which are often incomplete and contain errors. Expand
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Outage detection via real-time social stream analysis: leveraging the power of online complaints
TLDR
This paper documents the design and development of an outage detection system for the online services provided by Netflix, and provides assessment of the accuracy of its real-time detection and alert mechanisms. Expand
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Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference
TLDR
We use a popular SRL framework called Probabilistic Soft Logic (PSL) to generate large graphical models using a compact, rule-based representation. Expand
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Tractable Probabilistic Reasoning Through Effective Grounding
Templated Statistical Relational Learning languages, such as Markov Logic Networks (MLNs) and Probabilistic Soft Logic (PSL), offer much of the expressivity of probabilistic graphical models in aExpand
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CMPS 245 , Winter 17 Project : Ideology-Backed Stance Classification
The determination of stance in two-sided discussions/debates in online debate forums is a new and interesting problem in opinion mining. We target the task of classifying stance in ideologicalExpand
VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic
TLDR
We present a generic visual model inspector for Probabilistic Soft Logic, and show how our inspector can be used on a hybrid recommender system to: debug errors in the model, analyze the performance of individual components of the model. Expand