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Alexander L. Hayes edited this page Dec 27, 2016 · 29 revisions

Part 2 in a Series on BoostSRL

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A folder "train" that contains

train_bk.txt : Background Knowledge.

train_facts.txt : Facts

train_pos.txt : Positive examples

train_neg.txt : Negative examples

A folder "test" that contains:

test_bk.txt : Background Knowledge.

test_facts.txt : Facts

test_pos.txt : Positive examples

test_neg.txt : Negative examples

BoostSRL Wiki | Group Website | Downloads | Datasets

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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