def get_event(event_entry):
name = event_entry['Relation']
concept = Concept(name, db_refs={'TEXT': name})
grounding = event_entry['Event_Type']
if grounding:
concept.db_refs['SOFIA'] = grounding
context = WorldContext()
time = event_entry.get('Time')
if time:
context.time = TimeContext(text=time.strip())
loc = event_entry.get('Location')
if loc:
context.geo_location = RefContext(name=loc)
text = event_entry.get('Text')
ref = event_entry.get('Source')
agent = event_entry.get('Agent')
patient = event_entry.get('Patient')
anns = {}
if agent:
anns['agent'] = agent
if patient:
anns['patient'] = patient
ev = Evidence(source_api='sofia', pmid=ref, text=text,
annotations=anns, source_id=event_entry['Event Index'])
pol = event_entry.get('Polarity')
event = Event(concept, context=context, evidence=[ev],
delta=QualitativeDelta(polarity=pol, adjectives=None))
return event
def get_event_compositional(self, event_entry: Dict[str, str]) -> Event:
"""Get an Event with compositional grounding
Parameters
----------
event_entry :
The event to process
Returns
-------
event :
An Event statement
"""
# Get get compositional grounding
comp_name, comp_grnd = self.get_compositional_grounding(event_entry)
if comp_name is not None and \
comp_grnd[0] is not None and \
comp_grnd[0][0] is not None:
concept = Concept(comp_name,
db_refs={
'TEXT': comp_name,
'WM': [comp_grnd]
})
# If not try to get old style Sofia grounding
else:
name = event_entry['Relation']
concept = Concept(name, db_refs={'TEXT': name})
if event_entry['Event_Type']:
concept.db_refs['SOFIA'] = event_entry['Event_Type']
context = WorldContext()
time = event_entry.get('Time')
if time:
context.time = TimeContext(text=time.strip())
loc = event_entry.get('Location')
if loc:
context.geo_location = RefContext(name=loc)
text = event_entry.get('Text')
ref = event_entry.get('Source')
agent = event_entry.get('Agent')
patient = event_entry.get('Patient')
anns = {}
if agent:
anns['agent'] = agent
if patient:
anns['patient'] = patient
text_refs = {'DART': ref}
ev = Evidence(source_api='sofia',
text_refs=text_refs,
text=text,
annotations=anns,
source_id=event_entry['Event Index'])
pol = event_entry.get('Polarity')
event = Event(concept,
context=context,
evidence=[ev],
delta=QualitativeDelta(polarity=pol, adjectives=None))
return event
def get_event(event_entry):
name = event_entry['Relation']
concept = Concept(name, db_refs={'TEXT': name})
grounding = event_entry['Event_Type']
if grounding:
concept.db_refs['SOFIA'] = grounding
context = WorldContext()
time = event_entry.get('Time')
if time:
context.time = TimeContext(text=time.strip())
loc = event_entry.get('Location')
if loc:
context.geo_location = RefContext(name=loc)
text = event_entry.get('Text')
ref = event_entry.get('Source')
ev = Evidence(source_api='sofia', pmid=ref, text=text)
pol = event_entry.get('Polarity')
event = Event(concept,
context=context,
evidence=[ev],
delta={
'polarity': pol,
'adjectives': []
})
return event
def get_event_flat(self, event_entry: Dict[str, str]) -> Event:
"""Get an Event with flattened grounding
Parameters
----------
event_entry :
The event to process
Returns
-------
event :
An Event statement
"""
name = event_entry['Relation']
concept = Concept(name, db_refs={'TEXT': name})
grounding = event_entry['Event_Type']
if grounding:
concept.db_refs['SOFIA'] = grounding
context = WorldContext()
time = event_entry.get('Time')
if time:
context.time = TimeContext(text=time.strip())
loc = event_entry.get('Location')
if loc:
context.geo_location = RefContext(name=loc)
text = event_entry.get('Text')
ref = event_entry.get('Source')
agent = event_entry.get('Agent')
patient = event_entry.get('Patient')
anns = {}
if agent:
anns['agent'] = agent
if patient:
anns['patient'] = patient
text_refs = {'DART': ref}
ev = Evidence(source_api='sofia',
text_refs=text_refs,
text=text,
annotations=anns,
source_id=event_entry['Event Index'])
pol = event_entry.get('Polarity')
event = Event(concept,
context=context,
evidence=[ev],
delta=QualitativeDelta(polarity=pol, adjectives=None))
return event
def get_event(event_entry):
name = event_entry['Relation']
concept = Concept(name, db_refs={'TEXT': name})
grounding = event_entry['Event_Type']
if grounding:
concept.db_refs['SOFIA'] = grounding
context = WorldContext()
time = event_entry.get('Time')
if time:
context.time = TimeContext(text=time.strip())
loc = event_entry.get('Location')
if loc:
context.geo_location = RefContext(name=loc)
text = event_entry.get('Text')
ref = event_entry.get('Source')
ev = Evidence(source_api='sofia', pmid=ref, text=text)
pol = event_entry.get('Polarity')
event = Event(concept, context=context, evidence=[ev],
delta=QualitativeDelta(polarity=pol, adjectives=None))
return event
def get_evidence(self, event):
"""Return the Evidence object for the INDRA Statment."""
provenance = event.get('provenance')
# First try looking up the full sentence through provenance
text = None
context = None
if provenance:
sentence_tag = provenance[0].get('sentence')
if sentence_tag and '@id' in sentence_tag:
sentence_id = sentence_tag['@id']
sentence = self.sentences.get(sentence_id)
if sentence is not None:
text = _sanitize(sentence['text'])
# Get temporal constraints if available
timexes = sentence.get('timexes', [])
if timexes:
# We currently handle just one timex per statement
timex = timexes[0]
tc = self.time_context_from_timex(timex)
context = WorldContext(time=tc)
# Get geolocation if available
geolocs = sentence.get('geolocs', [])
if geolocs:
geoloc = geolocs[0]
rc = self.ref_context_from_geoloc(geoloc)
if context:
context.geo_location = rc
else:
context = WorldContext(geo_location=rc)
# Here we try to get the title of the document and set it
# in the provenance
doc_id = provenance[0].get('document', {}).get('@id')
if doc_id:
title = self.documents.get(doc_id, {}).get('title')
if title:
provenance[0]['document']['title'] = title
annotations = {'found_by': event.get('rule'), 'provenance': provenance}
if self.dct is not None:
annotations['document_creation_time'] = self.dct.to_json()
epistemics = {}
negations = self.get_negation(event)
hedgings = self.get_hedging(event)
if hedgings:
epistemics['hedgings'] = hedgings
if negations:
# This is the INDRA standard to show negation
epistemics['negated'] = True
# But we can also save the texts associated with the negation
# under annotations, just in case it's needed
annotations['negated_texts'] = negations
# If that fails, we can still get the text of the event
if text is None:
text = _sanitize(event.get('text'))
ev = Evidence(source_api='eidos',
text=text,
annotations=annotations,
context=context,
epistemics=epistemics)
return ev