This repository includes code and dataset for Martin-Boyle et al's paper "Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction"
A Dockerfile is provided for ease of use, but may need to be updated depending on the version of CUDA running on your system.
To train TaDDEx, ensure that train.json, test.json, and dev.json are located in data_files/SymDef/, then run the script ./train_test_scripts/run_train.sh. Training should take between 3 and 5 hours. At completion, the model will be stored in a directory called model_files.
To train TaDDEx, ensure that train.json, test.json, and dev.json are located in data_files/SymDef/ and that the trained TaDDEx model is located in model_files/. Then run the script ./train_test_scripts/run_test.sh. At completion, the scores will be printed to the terminal and the inferences will be stored in a test.json file located in outputs/.
A script to transform your dataset into SymDef format.