Information Extraction framework in Python
From the post:
IEPY is an open source tool for Information Extractionfocused on Relation Extraction.
To give an example of Relation Extraction, if we are trying to find a birth date in:
“John von Neumann (December 28, 1903 – February 8, 1957) was a Hungarian and American pure and applied mathematician, physicist, inventor and polymath.”
then IEPY’s task is to identify “John von Neumann” and “December 28, 1903” as the subject and object entities of the “was born in” relation.
- It’s aimed at:
- users needing to perform Information Extraction on a large dataset.
- scientists wanting to experiment with new IE algorithms.
Your success with recognizing relationships will vary but every one successfully recognized is one less that must be coded by hand.
Speaking of relationships, I would prefer to also have the relationships between John von Neumann and “Hungarian and American pure and applied mathematician, physicist, inventor and polymath” recognized as well.
I first saw this in a tweet by Scientific Python.