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