ExtractedReport Class
The ExtractedReport class is used as a wrapper around reports found during article processing, and is implemented in extracted_report.py.
ExtractedReport initialization:
def __init__(self, locations, event_term, subject_term, quantity, story, tag_spans=[])
The argument locations is a list of Facts with type=loc.
self.locations is a list of location names (i.e. Fact string representation)
The argument event_term is a Fact with type=term.
self.event_term is the string representation of the Fact.
The argument subject_term is a Fact with type=unit.
self.subject_term is the string representation of the Fact.
The argument quantity is a Fact with type=quantity.
self.quantity is an integer (the underlying text converted to int).
The article that has been processed.
An array containing the location in the article and type of each element found; stored as dictionaries. For example:
[{"type": "term", "start": 20, "end": 28}, {"type": "unit", "start": 47, "end": 56}]