ssl-deep-srl

Code for "Mehta, S. V., Lee, J. Y., and Carbonell, J. (2018). Towards Semi-Supervised Learning for Deep Semantic Role Labeling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp. 4958-4963).

Requirements

Python 3.6, PyTorch 0.4.1, AllenNLP v0.4.1

Setting up a virtual environment

Conda can be used to set up a virtual environment with Python 3.6 in which you can sandbox dependencies required for our implementation:

1. Download and install Conda.

2. Create a Conda environment with Python 3.6

   conda create -n ssl-deep-srl python=3.6
   

3. Activate the Conda environment. (You will need to activate the Conda environment in each terminal in which you want to run our implementation).

   source activate ssl-deep-srl
   

Setting up our environment

1. Visit http://pytorch.org/ and install the PyTorch 0.4.1 package for your system.

2. Clone our repo:

   git clone [email protected]:sanketvmehta/ssl-deep-srl.git
   

Installing AllenNLP from source

1. Clone allennlp with git submodule

   git submodule update --init
   

2. Checkout allennlp to v0.4.1

   git checkout 31f4f60
   

3. Change your directory to allennlp submodule present under the parent repo directory:

   cd ssl-deep-srl/allennlp
   

4. Install the necessary requirement by running

   INSTALL_TEST_REQUIREMENTS=true scripts/install_requirements.sh
   

5. Once the requirements have been installed, run:

   pip install --editable .
   

6. Test AllenNLP installation by running:

   ./scripts/verify.py
   

That's it! You're now ready to reproduce our results.

Citing

If you use our code in your research, please cite: Towards Semi-Supervised Learning for Deep Semantic Role Labeling

@inproceedings{mehta2018towards,
 title={Towards Semi-Supervised Learning for Deep Semantic Role Labeling},
 author={Mehta, Sanket Vaibhav and Lee, Jay Yoon and Carbonell, Jaime},
 booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 pages={4958--4963},
 year={2018}
}