@@ -103,7 +103,7 @@ def extractInformation(self):
103103 if len (self ._allRelPairs ) > 0 :
104104 self ._relationGeneral = pd .DataFrame (self ._allRelPairs , columns = self ._relationNames )
105105 if self ._screen :
106- print (self ._relationGeneral )
106+ logger . info (self ._relationGeneral )
107107 logger .info ('End of general entity relation extraction!' )
108108
109109 # Collect general cause effect info in (subj, causalKeywords, obj), this can be combined with method "extractCausalRelDep"
@@ -426,7 +426,7 @@ def findHealthStatus(self, root, deps):
426426 toVisit = deque ([root ]) # queue for bfs
427427 while len (toVisit ) > 0 :
428428 child = toVisit .popleft ()
429- # print ("child", child, child.dep_)
429+ # logger.debug ("child", child, child.dep_)
430430 if child .dep_ in deps :
431431 # to handle preposition
432432 try :
@@ -672,11 +672,6 @@ def extractCausalRelDep(self, matchedSents):
672672 if len (causeEffectPair ) != 0 :
673673 allCauseEffectPairs .append (causeEffectPair )
674674
675- # print("Identified Cause-Effect Pairs:")
676- # for elem in allCauseEffectPairs:
677- # for i in elem:
678- # print(i)
679-
680675 def identifyCauseEffectForNsuj (self , cRoot , cEntsIndex , causalEnts , orderedEnts , validRightSSCEnts , reverse = False ):
681676 """
682677 Identify the cause effect pairs for nsubj
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