def Main(filename):
entLine = open(filename).readlines()
que = Queue()
entProDict = {}
proList = []
entList = []
for e in entLine:
print e
entLineList = e.split(',')
entToSearch = entLineList[0]
entList.append(entToSearch)
queryStrings = []
for i in range(1,len(entLineList),1):
queryStrings.append(entLineList[i])
#webScraping(entToSearch, queryStrings)
for ent in entList:
ReplaceCorefPointers(ent)
collectEntities(ent)
entityClusterAndNormalise(ent)
success = inference_test(ent)
return success
stringToken[w_index]=noun
replaceList.append([pronoun,noun])
ereList[l_index] = ' '.join(stringToken)
newline_i = score+': ('+ereList[0] + ';'+ereList[1] + ';'+ereList[2] + ')'
extList[i] = newline_i
elif(isReplace==True and w_index == -1):
derefString = ereList[l_index]
if noun in setForReplacement:
derefString = derefString.replace(pronoun,primaryEnt)
replaceList.append([pronoun,primaryEnt])
else:
derefString = derefString.replace(pronoun,noun)
replaceList.append([pronoun,noun])
ereList[l_index] = derefString
newline_i = score+': ('+ereList[0] + ';'+ereList[1] + ';'+ereList[2] + ')'
extList[i] = newline_i
sentenceToExtractionMap.update({sentNo:extList})
xmlfileName = str(dicts)
storeInDb(sentenceToExtractionMap,sentencewiseCorefResultDict,xmlfileName)
#######################################################
## Write the outut to the files ##
#######################################################
# xmlfileName = str(dicts) +'.txt'
# printToFile(sentenceToExtractionMap,sentencewiseCorefResultDict,xmlfileName)
dbObj.client.close()
collectEntities(primaryEntity, url)
