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Advanced Modes Guide

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Alexander L. Hayes edited this page Dec 28, 2016 · 12 revisions

BoostSRL Basics Part 6: "Advanced Modes Guide"

by: Tushar Khot

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For a more advanced tutorial on modes refer to the presentation: Advanced-Modes-Guide

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BoostSRL Wiki

Home

  1. BoostSRL Wiki

BoostSRL Basics

  1. Getting Started
  2. File Structure
  3. Basic Usage Parameters
  4. Advanced Usage Parameters
  5. Basic Modes Guide
  6. Advanced Modes Guide

Deep dive into BoostSRL

  1. Default (RDN-Boost)
  2. MLN-Boost
  3. Regression
  4. Cost-sensitive SRL
  5. Learning with Advice
  6. Approximate Counting
  7. One-class Classification (coming soon)
  8. Discretization of Continuous Valued Attributes
  9. Lifted Relational Random Walks
  10. Grounded Relational Random Walks

Datasets

  1. IMDB
  2. Cora
  3. UW-CSE
  4. CiteSeer
  5. WebKB
  6. Toy Cancer
  7. Boston Housing

Applications of BoostSRL

  1. Natural Language Processing
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