This package contains all executables necessary for running the Semi-Supervised CRF. It is the implementation of our paper:

Graph-based semi-supervised conditional random fields for spoken language understanding using unaligned data
M. Aliannejadi, M. Kiaeeha et al., ALTW 2014

Please cite our work if you use it.

The following program(s) need to be installed on the host computer before running the application:

• Java Runtime Environment (JRE)

Before running the program you must grant execute premission for all of the files in the bin directory, which is done in this way on Linux OS: sudo chmod +x *.py sudo chmod +x crfsuite sudo chmod +x *.pl

Install Junto as described in: bin\junto-master\README.md

Run the graphcrf script contained in the root directory with the following arguments: ./graphcrf <labeledData.crf> <unlabeledData.crf> <testData.crf> <devData.crf>

a sample input data is provided in ./Data folder, so the program call would be: ./graphcrf Data/atis.labeled Data/atis.unlabeled Data/atis.test

This will run the program on a pre-shuffled set of data. To shuffle the data and run the program at the same time you should run the ./shufflerun script using the following arguments: ./shufflerun <dataset.crf> <test.crf>

e.g. ./shufflerun Data/atis Data/atis.test 0.1 0.9 0.1

note: all input data provided for "graphcrf" should be in standard CRF format