def buildNewObject(object):
print(Blu + "Referenced object is being defined in sentence" + st)
print(Blu + "Building new object:" + st, object.lemma_)
# Is this a statement about a single object or a set of objects
# to do this to need to get the deteminer and the count we are only considering between
# between 1 and 10. We also have a utility that converts names to numbers.
determiner = languageTools.extractDeterminer(object)
count = languageTools.extractCount(object)
count_number = utilities.countNumber(determiner, count)
print(Blu + "Count:" + st, str(count_number))
# We generate new names for each of our new objects
names = utilities.genNames(object.lemma_, count_number)
print(Blu + "New Names:" + st, names)
# Now we can begin making statements about our objects, first, we need to Assert that they exist
buildAndAssertObjectStatementFOPC(object, names)
# Next we pull out any features associated with the object and attach then to the object
findAndAssertFeaturesFOPC(object, names)
# And build up statement about any prepositional phrases linked to the object
findAndAttachPrepObjectsFOPC(object, object, names)
print(Blu + "Done building:" + st, object.lemma_)
recentMemory.addElements(object.lemma_, names)
return names
def buildNewObject(object):
print(Blu+"Referenced object is being defined in sentence"+st)
print(Blu+"Building new object:"+st, object.lemma_)
# Is this a statement about a single object or a set of objects
# to do this to need to get the deteminer and the count we are only considering between
# between 1 and 10. We also have a utility that converts names to numbers.
determiner = languageTools.extractDeterminer(object)
count = languageTools.extractCount(object)
count_number = utilities.countNumber(determiner,count)
print(Blu+"Count:"+st, str(count_number))
# We generate new names for each of our new objects
names = utilities.genNames(object.lemma_,count_number)
print(Blu+"New Names:"+st, names)
# Now we can begin making statements about our objects, first, we need to Assert that they exist
buildAndAssertObjectStatementFOPC(object, names)
# Next we pull out any features associated with the object and attach then to the object
findAndAssertFeaturesFOPC(object,names)
# And build up statement about any prepositional phrases linked to the object
findAndAttachPrepObjectsFOPC(object,object,names)
print(Blu+"Done building:"+st, object.lemma_)
recentMemory.addElements(object.lemma_,names)
return names
def discoverQuantifiedObjects(object):
count_number = utilities.countNumber(False,object)
reference = languageTools.trackReference(object)
print(Cyn+"Building concept to search KB for"+st,object.lemma_, "'"+reference.lemma_+"'")
features = languageTools.extractFeatures(object)
facts = [["inst","?x",reference.lemma_]]
for f in features:
type = kb.whatAmI(f.lemma_)
facts.append([type,"?x",f.lemma_])
print(rd+"Looking for an ?x that matches:"+st)
for f in facts:
print(" ",f)
bindings=kb.betterAsk(facts)
if len(bindings) < count_number:
print(Cyn+"We have a problem with too few objects matching in the KB"+st)
elif bindings == False:
print(Cyn+"We have a problem because nothing matches these facts in the KB"+st)
else:
print(Cyn+"Found references in KB:")
print(Cyn+"Selecting a subset from",len(bindings),"elements")
candidates = [a for a in map(lambda x: x["?x"], bindings)]
print(longTermMemory)
remaining = longTermMemory.getElementAndStatus(reference.lemma_, "remaining")
if remaining:
candidates = [a for a in filter(lambda x: x in remaining, candidates)]
print(Cyn+"Filtering off of last statement")
names = candidates[0:count_number]
others = candidates[count_number:]
print(Cyn+"Selected"+st, names)
recentMemory.addElements(reference.lemma_, names)
recentMemory.addElementAndStatus(reference.lemma_, others, "remaining")
return names
def discoverQuantifiedObjects(object):
count_number = utilities.countNumber(False,object)
reference = languageTools.trackReference(object)
print(Cyn+"Building concept to search KB for"+st,object.lemma_, "'"+reference.lemma_+"'")
features = languageTools.extractFeatures(object)
facts = [["inst","?x",reference.lemma_]]
for f in features:
type = kb.whatAmI(f.lemma_)
facts.append([type,"?x",f.lemma_])
print(rd+"Looking for an ?x that matches:"+st)
for f in facts:
print(" ",f)
bindings=kb.betterAsk(facts)
if len(bindings) < count_number:
print(Cyn+"We have a problem with too few objects matching in the KB"+st)
elif bindings == False:
print(Cyn+"We have a problem because nothing matches these facts in the KB"+st)
else:
print(Cyn+"Found references in KB:")
print(Cyn+"Selecting a subset from",len(bindings),"elements")
candidates = [a for a in map(lambda x: x["?x"], bindings)]
print(longTermMemory)
remaining = longTermMemory.getElementAndStatus(reference.lemma_, "remaining")
if remaining:
candidates = [a for a in filter(lambda x: x in remaining, candidates)]
print(Cyn+"Filtering off of last statement")
names = candidates[0:count_number]
others = candidates[count_number:]
print(Cyn+"Selected"+st, names)
recentMemory.addElements(reference.lemma_, names)
recentMemory.addElementAndStatus(reference.lemma_, others, "remaining")
return names