__________
______/ ________ \______
_/ ____________ \_
_/____________ ____________\_
/ ___________ \ / ___________ \
/ /XXXXXXXXXXX\ \/ /XXXXXXXXXXX\ \
/ /############/ \############\ \
| \XXXXXXXXXXX/ _ _ \XXXXXXXXXXX/ |
__|\_____ ___ // \\ ___ _____/|__
[_ \ \ X X / / _]
__| \ \ / / |__
[____ \ \ \ ____________ / / / ____]
\ \ \ \/||.||.||.||.||\/ / / /
\_ \ \ ||.||.||.||.|| / / _/
\ \ ||.||.||.||.|| / /
\_ ||_||_||_||_|| _/
\ ........ /
\________________/
This project is about training an embedding or use pretrained ones for a Named Entity Recognition task. As an example corpus is used the one from SemEval 2013 task9.
In the repository you need to specify the parameters that you want in the config.json file and run the run.py file in the src directory to run the experiments.