NLGbAse is a project in the objective of building a robust
Natural Langage Generation system. We present below the 3 main
ways of searching and extracting information from our semantic metadata.
Simple search :
this form explores the graph to find best fit to a
query. It uses terminology graphes and cosine similarity.
Semantic
search, basic. It gives you the possibility
to retrieve an
entity (person, organisation ...) from terms in a query.
Information
extractor. It gives you the possibility to
retrieve an
entity (person, organisation, date ...) related to a query (available soon).
Search (Beta 0.4)