Vectorizing knowledge bases for entity linking
pip install -r requirements.txt
python -m nltk.downloader stopwords
python -m nltk.downloader punkt
python -m nltk.downloader averaged_perceptron_tagger
Download the data folder and and unzip it:
wget http://ltdata1.informatik.uni-hamburg.de/kb2vec/data.zip
unzip data.zip
Entity linking NIF server:
python nif_ws.py
which will run at http://localhost:5000
GERBIL NIF-based evaluation server (from the gerbil directory):
bash start.sh
which will run at http://localhost:1234/gerbil
DBpedia entity linking NIF wrapper (from the gerbil-dbpedia-ws directory):
docker-compose up -d
which will run at http://localhost:8181/spotlight
http://localhost:8181/spotlight http://localhost:5000/random http://localhost:5000/sparse_overlap http://localhost:5000/dense_overlap http://localhost:5000/supertagger
