mulrel-nel: Multi-relational Named Entity Linking
A Python implementation of Multi-relatonal Named Entity Linking described in
 Phong Le and Ivan Titov (2018). Improving Entity Linking by Modeling Latent Relations between Mentions. ACL 2018.
Written and maintained by Phong Le (ple [at] exseed.ed.ac.uk )
- Requirements: Python 3.5 or 3.6, Pytorch 0.3, CUDA 7.5 or 8
The following instruction is for replicating the experiments reported in .
Download data from here and unzip to the main folder (i.e. your-path/mulrel-nel).
To train a 3-relation ment-norm model, from the main folder run
export PYTHONPATH=$PYTHONPATH:../ python -u -m nel.main --mode train --n_rels 3 --mulrel_type ment-norm --model_path model
Using a GTX 1080 Ti GPU it will take about 1 hour. The output is a model saved in two files:
python -u -m nel.main --mode eval --model_path model