NLP to find relationship between entities

Question

My current understanding is that it's possible to extract entities from a text document using toolkits such as OpenNLP, Stanford NLP.

However, is there a way to find relationships between these entities?

For example consider the following text :

"As some of you may know, I spent last week at CERN, the European high-energy physics laboratory where the famous Higgs boson was discovered last July. Every time I go to CERN I feel a deep sense of reverence. Apart from quick visits over the years, I was there for three months in the late 1990s as a visiting scientist, doing work on early Universe physics, trying to figure out how to connect the Universe we see today with what may have happened in its infancy."

Entities: I (author), CERN, Higgs boson

Relationships : - I "visited" CERN - CERN "discovered" Higgs boson

Thanks.

Answer 1

Yes absolutely. This is called Relation Extraction. Stanford has developed several useful tools for working on this problem.

Here is there website: http://deepdive.stanford.edu/relation_extraction Here is the github repository: https://github.com/philipperemy/Stanford-OpenIE-Python

In general here is how the process works.

results = entract_entity_relations("Barack Obama was born in Hawaii.")
print(results)
# [['Barack Obama','was born in', 'Hawaii']]

Of some importance is that only triples are extracted of the form (subject,predicate,object).