Low-rank Logic Embeddings

This repository contains code accompanying the paper: Tim Rocktäschel, Sameer Singh and Sebastian Riedel. Injecting Logical Background Knowledge into Embeddings for Relation Extraction. in: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT). 2015. [bib] [pdf]

Prerequisites

• git to clone the repository
• Java JDK and sbt to run code
• gnuplot to reproduce evaluation plots
• pdflatex to reproduce pdf tables

Download code

Clone the repository

cd ~/workspace
git clone https://github.com/uclmr/low-rank-logic.git
git submodule update --init --recursive
cd wolfe
git checkout tags/v0.4.0
cd ..

Compile and test

sbt clean compile test

Download data

NAACL13

If you have a license for the NYT corpus please write us a mail to obtain the link to the naacl2013.txt.zip file.

Move to resources

mv ~/Downloads/naacl2013.txt.zip ./src/main/resources

Comparison on Complete Data (Figure 3)

Matrix factorization

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-MF.conf'

Joint Optimization (Section 3.2)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Joint.conf'

Zero-shot Relation Learning (Table 1)

• MF (matrix factorization)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Zero-MF.conf'

• Inf (logical inference)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Zero-Inf.conf'

• Post (post-factorization inference)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Zero-Post.conf'

• Pre (pre-factorization inference)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Zero-Pre.conf'

• Joint (joint optimization)

sbt 'vmargs -Xmx8G' 'run-main uclmr.MatrixFactorization ./conf/naacl2015-Zero-Joint.conf'

Generating Figure

cd data/eval
tail -105 ../out/experiments.log > subsample.log
gnuplot -e 'fileName = "subsample"' eval.gpl 
open subsample-wMAP.pdf

Relations with Few Distant Labels (Figure 2)

sbt 'run-main uclmr.util.SubsampleExperiments 4'

4 is the number of threads used to run experiments in parallel.

Evaluate predictions

sbt 'run-main uclmr.io.EvaluateNAACL ./conf/eval.conf ./data/out/latest/predict.txt'

Citing

@inproceedings{rocktaschel2015injecting,
  title={{Injecting Logical Background Knowledge into Embeddings for Relation Extraction}},
  author={Rockt{\"a}schel, Tim and Singh, Sameer and Riedel, Sebastian},
  booktitle = {Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT)},
  year={2015}
}