Extracting relation between brain region pairs from white text

Neuroscience researchers have a keen interest in finding the connection between various brain regions of an organism. Researchers all across the globe are finding new connections everyday and it is very difficult to keep track of all those, so it is important to create a centralized system which is able to give the relation between brain entities. Databases like PubMed contains abstracts and references from a large number of publications in the bio-medical domain. White text is the structured database (a part of PubMed) having structured collection of sentences from various documents containing several neuroscience entities (Brain Regions) and the neuroanatomical connections between them. Identifying such connectivity details automatically in such database is always a point of interest as it helps to centralize all the connectivity in brain regions from various literature. A word vector based machine learning solution is provided to find the relation between 2 entities present in a sentence having a binary label whether a connection is present or not.