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Web-scale information extraction in knowitall: (preliminary results)
TLDR
This paper introduces KnowItAll, a system that aims to automate the tedious process ofextracting large collections of facts from the web in an autonomous,domain-independent, and scalable manner. Expand
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The Alchemy System for Statistical Relational AI: User Manual
The Alchemy package provides a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. If you are not already familiarExpand
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Learning the structure of Markov logic networks
TLDR
We develop an algorithm for learning the structure of MLNs from relational databases, combining ideas from inductive logic programming (ILP) and feature induction in Markov networks. Expand
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Learning Markov Logic Networks Using Structural Motifs
TLDR
We present Learning using Structural Motifs (LSM), the first MLN structure learner capable of efficiently and accurately learning long clauses. Expand
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Learning Markov logic network structure via hypergraph lifting
TLDR
We present an approach that directly utilizes the data in constructing candidates. Expand
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Statistical predicate invention
TLDR
We propose statistical predicate invention as a key problem for statistical relational learning. Expand
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Markov Logic
TLDR
We introduce Markov logic, a language that is conceptually simple, yet provides the full expressiveness of first-order logic in finite domains, and remains well-defined in many infinite domains. Expand
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Extracting Semantic Networks from Text Via Relational Clustering
TLDR
We present a scalable, unsupervised, and domainindependent system that simultaneously extracts high-level relations and concepts, and learns a semantic network from text. Expand
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Hitting the Right Paraphrases in Good Time
TLDR
We present HTP (Hitting Time Paraphraser), a random-walk-based approach to learning paraphrases from bilingual parallel corpora. Expand
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CrowdOp: Query Optimization for Declarative Crowdsourcing Systems
TLDR
We study the query optimization problem in declarative crowdsourcing systems. Expand
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