class PathGazetteer(ExampleBuilder):
def __init__(self, includeNeg=False):
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(None)
self.gazetteer = {}
self.includeNeg = includeNeg
@classmethod
def build(cls, input, output, parse, tokenization=None, includeNeg=False):
p = PathGazetteer(includeNeg)
sentences = cls.getSentences(input, parse, tokenization)
counter = ProgressCounter(len(sentences), "Build path gazetteer")
for sentence in sentences:
counter.update(
1, "Building path gazetteer (" + sentence[0].getSentenceId() +
"): ")
p.processSentence(sentence[0])
p.calculateFractions()
f = open(output, "wt")
for key in sorted(p.gazetteer.keys()):
v = p.gazetteer[key]
f.write(key + " " + str(v[0]) + " " + str(v[1]) + " " + str(v[2]) +
" " + str(v[3]) + "\n")
f.close()
@classmethod
def load(cls, filename):
gazetteer = {}
f = open(filename, "rt")
for line in f.readlines():
splits = line.split()
gazetteer[splits[0]] = (splits[1], splits[2], splits[3], splits[4])
f.close()
return gazetteer
@classmethod
def getDependencies(cls, gazetteer):
dependencies = set()
for k in gazetteer.keys():
k = k.strip()
k = k.replace("<", "")
k = k.replace(">", "")
for dep in k.split("."):
dependencies.add(dep)
return dependencies
@classmethod
def getPairs(self, gazetteer):
pairs = []
for k in gazetteer.keys():
k = k.strip()
k = k.replace("<", "")
k = k.replace(">", "")
splits = k.split(".")
pairs.append((splits[0], splits[-1]))
return pairs
def calculateFractions(self):
numInstances = 0
numPos = 0
numNeg = 0
for v in self.gazetteer.values():
numInstances += v[2] + v[3]
numPos += v[2]
numNeg += v[3]
print >> sys.stderr, "Total paths:", numInstances
print >> sys.stderr, "Positives:", numPos
print >> sys.stderr, "Negatives:", numNeg
for v in self.gazetteer.values():
assert v[0] == None and v[1] == None
if v[3] == None:
assert v[2] != None
v[0] = 1
else:
v[0] = float(v[2]) / float(v[2] + v[3])
v[1] = float(v[2] + v[3]) / float(numInstances)
def nxMultiDiGraphToUndirected(self, graph):
undirected = NX10.MultiGraph(name=graph.name)
undirected.add_nodes_from(graph)
undirected.add_edges_from(graph.edges_iter())
return undirected
def processSentence(self, sentenceGraph):
#undirected = sentenceGraph.dependencyGraph.to_undirected()
undirected = self.nxMultiDiGraphToUndirected(
sentenceGraph.dependencyGraph)
paths = NX10.all_pairs_shortest_path(undirected, cutoff=999)
self.multiEdgeFeatureBuilder.setFeatureVector()
positivePaths = {
} # per sentence, a path may still be negative in another sentence
for interaction in sentenceGraph.interactions:
e1 = sentenceGraph.entitiesById[interaction.get("e1")]
e1Token = sentenceGraph.entityHeadTokenByEntity[e1]
e2 = sentenceGraph.entitiesById[interaction.get("e2")]
e2Token = sentenceGraph.entityHeadTokenByEntity[e2]
if paths.has_key(e1Token) and paths[e1Token].has_key(e2Token):
if not positivePaths.has_key(e1Token):
positivePaths[e1Token] = {}
positivePaths[e1Token][e2Token] = True
path = paths[e1Token][e2Token]
for comb in self.multiEdgeFeatureBuilder.getEdgeCombinations(
sentenceGraph.dependencyGraph, path):
if not self.gazetteer.has_key(comb):
self.gazetteer[comb] = [None, None, 0, 0]
self.gazetteer[comb][2] += 1
if self.includeNeg:
for t1 in sentenceGraph.tokens:
for t2 in sentenceGraph.tokens:
if t1 == t2:
continue
if positivePaths.has_key(t1) and positivePaths[t1].has_key(
t2):
continue
if paths.has_key(t1) and paths[t1].has_key(t2):
path = paths[t1][t2]
for comb in self.multiEdgeFeatureBuilder.getEdgeCombinations(
sentenceGraph.dependencyGraph, path):
if not self.gazetteer.has_key(comb):
self.gazetteer[comb] = [None, None, 0, 0]
self.gazetteer[comb][3] += 1
class DirectEventExampleBuilder(ExampleBuilder):
def __init__(self, style=["typed","directed","headsOnly"], length=None, types=[], featureSet=None, classSet=None, gazetteer=None, pathGazetteer=None, negFrac=None):
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
assert( classSet.getId("neg") == 1 )
if gazetteer != None:
print >> sys.stderr, "Loading gazetteer from", gazetteer
self.gazetteer=Gazetteer.loadGztr(gazetteer)
else:
print >> sys.stderr, "No gazetteer loaded"
self.gazetteer=None
self.pathGazetteer=None
self.pathGazetteerDependencies = None
self.pathGazetteerPairs = None
if pathGazetteer != None:
print >> sys.stderr, "Loading path gazetteer from", pathGazetteer
self.pathGazetteer=PathGazetteer.load(pathGazetteer)
self.pathGazetteerDependencies = PathGazetteer.getDependencies(self.pathGazetteer)
self.pathGazetteerPairs = PathGazetteer.getPairs(self.pathGazetteer)
else:
print >> sys.stderr, "No path gazetteer loaded"
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
self.styles = style
self.negFrac = negFrac
print >> sys.stderr, "Downsampling negatives to", negFrac
self.negRand = random.Random()
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet)
if True:#"noAnnType" in self.styles:
self.multiEdgeFeatureBuilder.noAnnType = True
if "noMasking" in self.styles:
self.multiEdgeFeatureBuilder.maskNamedEntities = False
if "maxFeatures" in self.styles:
self.multiEdgeFeatureBuilder.maximum = True
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet)
#self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
#if "ontology" in self.styles:
# self.multiEdgeFeatureBuilder.ontologyFeatureBuilder = BioInferOntologyFeatureBuilder(self.featureSet)
self.pathLengths = length
assert(self.pathLengths == None)
self.types = types
self.eventsByOrigId = {}
self.headTokensByOrigId = {}
self.interSentenceEvents = set()
self.examplesByEventOrigId = {}
self.skippedByType = {}
self.skippedByTypeAndReason = {}
self.builtByType = {}
self.gazMatchCache = {}
#self.outFile = open("exampleTempFile.txt","wt")
@classmethod
def run(cls, input, output, parse, tokenization, style, idFileTag=None, gazetteer=None, pathGazetteer=None, negFrac=None):
classSet, featureSet = cls.getIdSets(idFileTag)
if style != None:
e = DirectEventExampleBuilder(style=style, classSet=classSet, featureSet=featureSet, gazetteer=gazetteer, pathGazetteer=pathGazetteer, negFrac=negFrac)
else:
e = DirectEventExampleBuilder(classSet=classSet, featureSet=featureSet, gazetteer=gazetteer, pathGazetteer=pathGazetteer, negFrac=negFrac)
sentences = cls.getSentences(input, parse, tokenization)
e.buildExamplesForSentences(sentences, output, idFileTag)
e.printStats()
def getGazetteerMatch(self, string):
if string in self.gazMatchCache:
return self.gazMatchCache[string]
origString = string
if "stem_gazetteer" in self.styles:
string = PorterStemmer.stem(string)
if string in self.gazetteer:
self.gazMatchCache[origString] = string
return string
elif string.find("-") != -1:
replaced = string.replace("-","")
else:
self.gazMatchCache[origString] = None
return None
if replaced in self.gazetteer:
self.gazMatchCache[origString] = replaced
return replaced
else:
splitted = string.rsplit("-",1)[-1]
if splitted in self.gazetteer:
self.gazMatchCache[origString] = splitted
return splitted
else:
self.gazMatchCache[origString] = None
return None
def isInGazetteer(self, string):
return self.getGazetteerMatch(string) != None
def printStats(self):
eventsByType = {}
for event in self.eventsByOrigId.values():
eventsByType[event.get("type")] = eventsByType.get(event.get("type"),0) + 1
f = open("missed-events", "wt")
missedEvents = {}
for key in self.examplesByEventOrigId.keys():
if self.examplesByEventOrigId[key] == 0:
if not missedEvents.has_key(self.eventsByOrigId[key].get("type")):
missedEvents[self.eventsByOrigId[key].get("type")] = []
missedEvents[self.eventsByOrigId[key].get("type")].append(key)
for key in sorted(missedEvents.keys()):
f.write(key + "\n")
for id in sorted(missedEvents[key]):
f.write(" " + id + " ")
if id in self.interSentenceEvents:
f.write("intersentence ")
text = self.headTokensByOrigId[id].get("text").lower()
if not self.isInGazetteer(text):
text = self.headTokensByOrigId[id].get("text").lower()
if "stem_gazetteer" in self.styles:
stemmed = PorterStemmer.stem(text)
f.write("not-in-gazetteer (" + text + " / " + stemmed +")" )
f.write("\n")
f.close()
print >> sys.stderr, "Example selection missed events (other, intersentence, non-gazetteer)"
for key in sorted(eventsByType.keys()):
inter = 0
other = 0
nongaz = 0
if missedEvents.has_key(key):
for id in missedEvents[key]:
tokText = self.headTokensByOrigId[id].get("text").lower()
if id in self.interSentenceEvents:
inter += 1
elif not self.isInGazetteer(tokText):
nongaz += 1
else:
other += 1
if inter == other == nongaz == 0:
print >> sys.stderr, " " + key + " (" + str(eventsByType[key]) + "): missed none"
else:
print >> sys.stderr, " " + key + " (" + str(eventsByType[key]) + "): " + str(other) + ", " + str(inter) + ", " + str(nongaz)
print >> sys.stderr, "Example generation (total, built/skipped)"
for key in sorted(list(set(self.skippedByType.keys() + self.builtByType.keys()))):
string = " " + key + ": (" + str(self.builtByType.get(key,0)+self.skippedByType.get(key,0)) + ", " + str(self.builtByType.get(key,0)) + "/" + str(self.skippedByType.get(key,0)) + ") ["
for key2 in sorted(self.skippedByTypeAndReason[key].keys()):
string += key2 + ":" + str(self.skippedByTypeAndReason[key][key2]) + " "
string += "]"
print >> sys.stderr, string
def definePredictedValueRange(self, sentences, elementName):
self.multiEdgeFeatureBuilder.definePredictedValueRange(sentences, elementName)
def getPredictedValueRange(self):
return self.multiEdgeFeatureBuilder.predictedRange
def preProcessExamples(self, allExamples):
if "normalize" in self.styles:
print >> sys.stderr, " Normalizing feature vectors"
ExampleUtils.normalizeFeatureVectors(allExamples)
return allExamples
# def isPotentialGeniaInteraction(self, e1, e2):
# if e1.get("isName") == "True" and e2.get("isName") == "True":
# return False
# elif e1.get("isName") == "True" and e2.get("isName") == "False":
# return False
# else:
# return True
def getArgumentEntities(self, sentenceGraph, entityNode):
eId = entityNode.get("id")
assert(eId != None)
themeNodes = []
causeNodes = []
for edge in sentenceGraph.interactions:
if edge.get("e1") == eId:
edgeType = edge.get("type")
assert(edgeType in ["Theme", "Cause"]), edgeType
if edgeType == "Theme":
themeNodes.append( sentenceGraph.entitiesById[edge.get("e2")] )
elif edgeType == "Cause":
causeNodes.append( sentenceGraph.entitiesById[edge.get("e2")] )
return themeNodes, causeNodes
def makeGSEvents(self, sentenceGraph):
self.namedEntityHeadTokenIds = set()
self.gsEvents = {} # [token]->[event-type]->[1-n argument sets]
for token in sentenceGraph.tokens:
self.gsEvents[token] = {}
for entity in sentenceGraph.entities:
if entity.get("type") == "neg":
continue
elif entity.get("isName") == "True":
self.namedEntityHeadTokenIds.add(sentenceGraph.entityHeadTokenByEntity[entity].get("id"))
continue
eId = entity.get("id")
eOrigId = entity.get("origId")
assert not self.eventsByOrigId.has_key(eOrigId)
self.eventsByOrigId[eOrigId] = entity
if not self.examplesByEventOrigId.has_key(eOrigId):
self.examplesByEventOrigId[eOrigId] = 0
if len(sentenceGraph.interSentenceInteractions) > 0:
for interaction in sentenceGraph.interSentenceInteractions:
if interaction.get("e1") == eId:
self.interSentenceEvents.add(eOrigId)
eType = entity.get("type")
arguments = set()
for interaction in sentenceGraph.interactions:
if interaction.get("e1") == eId:
e2 = sentenceGraph.entitiesById[interaction.get("e2")]
e2TokenId = sentenceGraph.entityHeadTokenByEntity[e2].get("id")
arguments.add( (interaction.get("type"), e2TokenId ) )
#arguments.add( (interaction.get("type"), interaction.get("e2") ) )
arguments = tuple(sorted(list(arguments)))
eHeadToken = sentenceGraph.entityHeadTokenByEntity[entity]
self.headTokensByOrigId[eOrigId] = eHeadToken
if not self.gsEvents[eHeadToken].has_key(eType):
self.gsEvents[eHeadToken][eType] = {}
if len(arguments) > 0:
if not self.gsEvents[eHeadToken][eType].has_key(arguments):
self.gsEvents[eHeadToken][eType][arguments] = []
self.gsEvents[eHeadToken][eType][arguments].append(eOrigId)
def getGSEventType(self, sentenceGraph, eHeadToken, themeTokens, causeTokens):
#eHeadToken = sentenceGraph.entityHeadTokenByEntity[entity]
#eType = entity.get("type")
if len(self.gsEvents[eHeadToken]) == 0:
return "neg", []
argumentSet = set()
for themeNode in themeTokens:
if themeNode != None:
argumentSet.add( ("Theme", themeNode.get("id")) )
for causeNode in causeTokens:
if causeNode != None:
argumentSet.add( ("Cause", causeNode.get("id")) )
argumentSet = tuple(sorted(list(argumentSet)))
gsTypes = set()
eventIds = []
for eventType in sorted(self.gsEvents[eHeadToken].keys()):
if argumentSet in self.gsEvents[eHeadToken][eventType].keys():
gsTypes.add(eventType)
eventIds.extend(self.gsEvents[eHeadToken][eventType][argumentSet])
if len(gsTypes) == 0:
return "neg", eventIds
elif len(gsTypes) == 1:
return list(gsTypes)[0], eventIds
else:
gsTypes = sorted(list(gsTypes))
string = gsTypes[0]
for gsType in gsTypes[1:]:
string += "---" + gsType
return string, eventIds
def nxMultiDiGraphToUndirected(self, graph):
undirected = NX10.MultiGraph(name=graph.name)
undirected.add_nodes_from(graph)
undirected.add_edges_from(graph.edges_iter())
return undirected
def buildExamples(self, sentenceGraph):
self.makeGSEvents(sentenceGraph)
self.multiEdgeFeatureBuilder.setFeatureVector(resetCache=True)
self.triggerFeatureBuilder.initSentence(sentenceGraph)
examples = []
exampleIndex = 0
#undirected = sentenceGraph.dependencyGraph.to_undirected()
undirected = self.nxMultiDiGraphToUndirected(sentenceGraph.dependencyGraph)
paths = NX10.all_pairs_shortest_path(undirected, cutoff=999)
eventTokens = []
nameTokens = []
gazCategories = {None:{"neg":-1}}
#stems = {}
for token in sentenceGraph.tokens:
gazText = self.getGazetteerMatch(token.get("text").lower())
if gazText != None:
gazCategories[token] = self.gazetteer[gazText]
else:
gazCategories[token] = {"neg":-1}
if token.get("id") in self.namedEntityHeadTokenIds:
nameTokens.append(token)
elif gazText != None:
eventTokens.append(token)
allTokens = eventTokens + nameTokens
#if len(nameTokens) == 0: # there can be no events in this sentence
# self.gsEvents = None
# return []
for token in eventTokens:
#gazCategories = self.gazetteer[token.get("text").lower()]
#print token.get("text").lower(), gazCategories
#multiargument = False
potentialRegulation = False
potentialBinding = False
for key in gazCategories[token].keys():
if key in ["Regulation","Positive_regulation","Negative_regulation"]:
#multiargument = True
potentialRegulation = True
break
for key in gazCategories[token].keys():
if key in ["Binding"]:
#multiargument = True
potentialBinding = True
break
if potentialRegulation:
combinations = combine.combine(allTokens, allTokens+[None])
else:
combinations = []
for t2 in nameTokens: #allTokens:
combinations.append( (t2, None) )
if potentialBinding:
for i in range(len(nameTokens) - 1):
for j in range(i+1, len(nameTokens)):
combinations.append( ((nameTokens[i],nameTokens[j]), None) )
for combination in combinations:
theme2Binding = False
if type(combination[0]) == types.ListType or type(combination[0]) == types.TupleType:
theme2Binding = True
categoryName, eventIds = self.getGSEventType(sentenceGraph, token, combination[0], [combination[1]])
else:
categoryName, eventIds = self.getGSEventType(sentenceGraph, token, [combination[0]], [combination[1]])
for id in eventIds:
self.examplesByEventOrigId[id] += 1
skip = False
s = self.skippedByTypeAndReason
if not s.has_key(categoryName):
s[categoryName] = {}
if gazCategories[token].get("neg",-1) > 0.99:
pass
if combination[0] == combination[1]:
pass #skip = True
if combination[0] == token or combination[1] == token:
if theme2Binding or gazCategories[combination[0]].get("Positive_regulation",-1) < 0:
skip = True
s[categoryName]["duparg"] = s[categoryName].get("duparg", 0) + 1
if combination[0] == None and combination[1] == None:
skip = True
s[categoryName]["noncmb"] = s[categoryName].get("noncmb", 0) + 1
validCat = self.isValidEvent(paths, sentenceGraph, token, combination)
if validCat != "OK": #not self.isValidEvent(paths, sentenceGraph, token, combination):
skip = True
#s[categoryName]["valid"] = s[categoryName].get("valid", 0) + 1
s[categoryName][validCat] = s[categoryName].get(validCat, 0) + 1
if len(nameTokens) == 0:
skip = True
s[categoryName]["non"] = s[categoryName].get("non", 0) + 1
if theme2Binding:
if gazCategories[combination[0][0]].get("neg",-1) > 0.99 or gazCategories[combination[0][1]].get("neg",-1) > 0.99:
skip = True
s[categoryName]["gazarg"] = s[categoryName].get("gazarg", 0) + 1
else:
if gazCategories[combination[0]].get("neg",-1) > 0.99 or gazCategories[combination[1]].get("neg",-1) > 0.99:
skip = True
s[categoryName]["gazarg"] = s[categoryName].get("gazarg", 0) + 1
if (skip and self.negFrac == None) or (skip and self.negFrac != None and categoryName == "neg"):
self.skippedByType[categoryName] = self.skippedByType.get(categoryName, 0) + 1
else:
if self.negFrac == None or categoryName != "neg" or (categoryName == "neg" and self.negRand.random() < self.negFrac):
self.builtByType[categoryName] = self.builtByType.get(categoryName, 0) + 1
if theme2Binding:
newExample = self.buildExample(exampleIndex, sentenceGraph, paths, token, combination[0], [combination[1]])
else:
newExample = self.buildExample(exampleIndex, sentenceGraph, paths, token, [combination[0]], [combination[1]])
if len(eventIds) > 0:
newExample[3]["numEv"] = str(len(eventIds))
examples.append( newExample )
exampleIndex += 1
self.gsEvents = None
return examples
def isValidEvent(self, paths, sentenceGraph, eventToken, argTokens):
# This one lets through Positive_regulations that are
# excluded from the duparg-rule
oneTokenEvent = True
for argToken in argTokens:
if argToken != None and eventToken != argToken:
oneTokenEvent = False
break
if oneTokenEvent:
return "OK" #True
if not paths.has_key(eventToken):
return "nopaths" #False
newArgTokens = []
for argToken in argTokens:
if type(argToken) == types.ListType or type(argToken) == types.TupleType:
newArgTokens.extend(argToken)
else:
newArgTokens.append(argToken)
argTokens = newArgTokens
oneArgValid = True
if False:
oneArgValid = False
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
#print argToken, argToken.get("text")
#return False
continue
depPaths = self.multiEdgeFeatureBuilder.getEdgeCombinations(sentenceGraph.dependencyGraph, path)
validArg = False
for p in depPaths:
if p in self.pathGazetteer and self.pathGazetteer[p][0] > 0:
validArg = True
break
if validArg:
oneArgValid = True
# The first and last dependency of a path
if False:
oneEdgeValid = False
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
#print argToken, argToken.get("text")
#return False
continue
depPaths = self.multiEdgeFeatureBuilder.getEdgeCombinations(sentenceGraph.dependencyGraph, path)
validArg = False
for p in depPaths:
p = p.replace("<","")
p = p.replace(">","")
p = p.split(".")
pair = (p[0], p[-1])
if pair in self.pathGazetteerPairs:
validArg = True
break
if validArg:
oneEdgeValid = True
break
if not oneEdgeValid:
return "pair"
# Event must not have unseen dependencies in any of its paths
if False:
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
continue
deps = self.multiEdgeFeatureBuilder.getEdgeSet(sentenceGraph.dependencyGraph, path)
for d in deps:
if d[2].get("type") not in self.pathGazetteerDependencies:
#print "Unk", d[2].get("type")
return "unkdep"
# validArg = True
# for p in depPaths:
# if p in self.pathGazetteer and self.pathGazetteer[p][0] == 0:
# validArg = False
# break
# if not validArg:
# return False
if not oneArgValid:
return "novalidarg" #False
return "OK" #True
def setGazetteerFeatures(self, token, tag):
gazText = self.getGazetteerMatch(token.get("text").lower())
if gazText != None:
gazCategories = self.gazetteer[gazText]
for k,v in gazCategories.iteritems():
self.setFeature(tag+"gaz_event_value_"+k, v)
self.setFeature(tag+"gaz_event_"+k, 1)
if k.find("egulation") != -1:
self.setFeature(tag+"potReg", 1)
else:
self.setFeature(tag+"notInGaz", 1)
def buildExample(self, exampleIndex, sentenceGraph, paths, eventToken, themeTokens, causeTokens=None):
features = {}
self.features = features
categoryName, eventIds = self.getGSEventType(sentenceGraph, eventToken, themeTokens, causeTokens)
category = self.classSet.getId(categoryName)
potentialRegulation = False
eventTokenText = eventToken.get("text").lower()
gazText = self.getGazetteerMatch(eventTokenText)
gazCategories = self.gazetteer[gazText]
for k,v in gazCategories.iteritems():
if k.find("egulation") != -1:
potentialRegulation = True
self.setGazetteerFeatures(eventToken,"")
self.triggerFeatureBuilder.setFeatureVector(self.features)
self.triggerFeatureBuilder.tag = "trg_"
self.triggerFeatureBuilder.buildFeatures(eventToken)
themeEntities = []
hasTheme = False
if len(themeTokens) > 1:
self.setFeature("multiTheme", 1)
potentialRegulation = False
for themeToken in themeTokens:
if themeToken != None:
hasTheme = True
self.setGazetteerFeatures(themeToken,"theme_")
self.buildArgumentFeatures(sentenceGraph, paths, features, eventToken, themeToken, "theme_")
self.triggerFeatureBuilder.tag = "ttrg_"
self.triggerFeatureBuilder.buildFeatures(themeToken)
themeEntity = None
if sentenceGraph.entitiesByToken.has_key(themeToken):
for themeEntity in sentenceGraph.entitiesByToken[themeToken]:
if themeEntity.get("isName") == "True":
self.setFeature("themeProtein", 1)
if potentialRegulation:
self.setFeature("regulationThemeProtein", 1)
themeEntities.append(themeEntity)
break
if not features.has_key("themeProtein"):
self.setFeature("themeEvent", 1)
self.setFeature("nestingEvent", 1)
if potentialRegulation:
self.setFeature("regulationThemeEvent", 1)
if hasTheme:
self.setFeature("noTheme", 1)
causeEntities = []
hasCause = False
for causeToken in causeTokens:
if causeToken != None:
hasCause = True
self.setGazetteerFeatures(causeToken,"cause_")
self.buildArgumentFeatures(sentenceGraph, paths, features, eventToken, causeToken, "cause_")
self.triggerFeatureBuilder.tag = "ctrg_"
self.triggerFeatureBuilder.buildFeatures(causeToken)
causeEntity = None
if sentenceGraph.entitiesByToken.has_key(causeToken):
for causeEntity in sentenceGraph.entitiesByToken[causeToken]:
if causeEntity.get("isName") == "True":
self.setFeature("causeProtein", 1)
if potentialRegulation:
self.setFeature("regulationCauseProtein", 1)
causeEntities.append(causeEntity)
break
if not features.has_key("causeProtein"):
self.setFeature("causeEvent", 1)
self.setFeature("nestingEvent", 1)
if potentialRegulation:
self.setFeature("regulationCauseEvent", 1)
if not hasCause:
self.setFeature("noCause", 1)
self.triggerFeatureBuilder.tag = ""
self.triggerFeatureBuilder.setFeatureVector(None)
# Common features
# if e1Type.find("egulation") != -1: # leave r out to avoid problems with capitalization
# if entity2.get("isName") == "True":
# features[self.featureSet.getId("GENIA_regulation_of_protein")] = 1
# else:
# features[self.featureSet.getId("GENIA_regulation_of_event")] = 1
# define extra attributes
extra = {"xtype":"event","type":categoryName}
extra["et"] = eventToken.get("id")
if len(eventIds) > 0:
eventIds.sort()
extra["eids"] = ""
for eventId in eventIds:
extra["eids"] += str(eventId) + ","
extra["eids"] = extra["eids"][:-1]
for themeToken in themeTokens:
if themeToken != None:
if extra.has_key("tt"):
extra["tt"] = extra["tt"] + "," + themeToken.get("id")
else:
extra["tt"] = themeToken.get("id")
for themeEntity in themeEntities:
if extra.has_key("t"):
extra["t"] = extra["t"] + "," + themeEntity.get("id")
else:
extra["t"] = themeEntity.get("id")
for causeToken in causeTokens:
if causeToken != None:
extra["ct"] = causeTokens[0].get("id")
if len(causeEntities) > 0:
extra["c"] = causeEntities[0].get("id")
sentenceOrigId = sentenceGraph.sentenceElement.get("origId")
if sentenceOrigId != None:
extra["SOID"] = sentenceOrigId
# make example
#assert (category == 1 or category == -1)
self.features = None
return (sentenceGraph.getSentenceId()+".x"+str(exampleIndex),category,features,extra)
def buildArgumentFeatures(self, sentenceGraph, paths, features, eventToken, argToken, tag):
#eventToken = sentenceGraph.entityHeadTokenByEntity[eventNode]
#argToken = sentenceGraph.entityHeadTokenByEntity[argNode]
self.multiEdgeFeatureBuilder.tag = tag
self.multiEdgeFeatureBuilder.setFeatureVector(features, None, None, False)
if eventToken != argToken and paths.has_key(eventToken) and paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
edges = self.multiEdgeFeatureBuilder.getEdges(sentenceGraph.dependencyGraph, path)
else:
path = [eventToken, argToken]
edges = None
# if not "disable_entity_features" in self.styles:
# # doesn't improve beyond 52.32
# self.multiEdgeFeatureBuilder.buildEntityFeatures(sentenceGraph)
# # buildPathLengthFeatures 52.32 -> 51-51
# self.multiEdgeFeatureBuilder.buildPathLengthFeatures(path)
# if not "disable_terminus_features" in self.styles:
# # didn't improve from 52.32
# self.multiEdgeFeatureBuilder.buildTerminusTokenFeatures(path, sentenceGraph) # remove for fast
if not "disable_single_element_features" in self.styles:
# 50.74 -> 52.32
self.multiEdgeFeatureBuilder.buildSingleElementFeatures(path, edges, sentenceGraph)
if not "disable_ngram_features" in self.styles:
# ngrams alone - 50.74
self.multiEdgeFeatureBuilder.buildPathGrams(2, path, edges, sentenceGraph) # remove for fast
self.multiEdgeFeatureBuilder.buildPathGrams(3, path, edges, sentenceGraph) # remove for fast
self.multiEdgeFeatureBuilder.buildPathGrams(4, path, edges, sentenceGraph) # remove for fast
# disabling length 4 drops performance
# if not "disable_path_edge_features" in self.styles:
# self.multiEdgeFeatureBuilder.buildPathEdgeFeatures(path, edges, sentenceGraph)
# self.multiEdgeFeatureBuilder.buildSentenceFeatures(sentenceGraph)
# buildSentenceFeatures seems to decrease performance by 8 %-points
self.multiEdgeFeatureBuilder.setFeatureVector(None, None, None, False)
self.multiEdgeFeatureBuilder.tag = ""
class DirectEventExampleBuilder(ExampleBuilder):
def __init__(self,
style=["typed", "directed", "headsOnly"],
length=None,
types=[],
featureSet=None,
classSet=None,
gazetteer=None,
pathGazetteer=None,
negFrac=None):
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
assert (classSet.getId("neg") == 1)
if gazetteer != None:
print >> sys.stderr, "Loading gazetteer from", gazetteer
self.gazetteer = Gazetteer.loadGztr(gazetteer)
else:
print >> sys.stderr, "No gazetteer loaded"
self.gazetteer = None
self.pathGazetteer = None
self.pathGazetteerDependencies = None
self.pathGazetteerPairs = None
if pathGazetteer != None:
print >> sys.stderr, "Loading path gazetteer from", pathGazetteer
self.pathGazetteer = PathGazetteer.load(pathGazetteer)
self.pathGazetteerDependencies = PathGazetteer.getDependencies(
self.pathGazetteer)
self.pathGazetteerPairs = PathGazetteer.getPairs(
self.pathGazetteer)
else:
print >> sys.stderr, "No path gazetteer loaded"
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
self.styles = style
self.negFrac = negFrac
print >> sys.stderr, "Downsampling negatives to", negFrac
self.negRand = random.Random()
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet)
if True: #"noAnnType" in self.styles:
self.multiEdgeFeatureBuilder.noAnnType = True
if "noMasking" in self.styles:
self.multiEdgeFeatureBuilder.maskNamedEntities = False
if "maxFeatures" in self.styles:
self.multiEdgeFeatureBuilder.maximum = True
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet)
#self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
#if "ontology" in self.styles:
# self.multiEdgeFeatureBuilder.ontologyFeatureBuilder = BioInferOntologyFeatureBuilder(self.featureSet)
self.pathLengths = length
assert (self.pathLengths == None)
self.types = types
self.eventsByOrigId = {}
self.headTokensByOrigId = {}
self.interSentenceEvents = set()
self.examplesByEventOrigId = {}
self.skippedByType = {}
self.skippedByTypeAndReason = {}
self.builtByType = {}
self.gazMatchCache = {}
#self.outFile = open("exampleTempFile.txt","wt")
@classmethod
def run(cls,
input,
output,
parse,
tokenization,
style,
idFileTag=None,
gazetteer=None,
pathGazetteer=None,
negFrac=None):
classSet, featureSet = cls.getIdSets(idFileTag)
if style != None:
e = DirectEventExampleBuilder(style=style,
classSet=classSet,
featureSet=featureSet,
gazetteer=gazetteer,
pathGazetteer=pathGazetteer,
negFrac=negFrac)
else:
e = DirectEventExampleBuilder(classSet=classSet,
featureSet=featureSet,
gazetteer=gazetteer,
pathGazetteer=pathGazetteer,
negFrac=negFrac)
sentences = cls.getSentences(input, parse, tokenization)
e.buildExamplesForSentences(sentences, output, idFileTag)
e.printStats()
def getGazetteerMatch(self, string):
if string in self.gazMatchCache:
return self.gazMatchCache[string]
origString = string
if "stem_gazetteer" in self.styles:
string = PorterStemmer.stem(string)
if string in self.gazetteer:
self.gazMatchCache[origString] = string
return string
elif string.find("-") != -1:
replaced = string.replace("-", "")
else:
self.gazMatchCache[origString] = None
return None
if replaced in self.gazetteer:
self.gazMatchCache[origString] = replaced
return replaced
else:
splitted = string.rsplit("-", 1)[-1]
if splitted in self.gazetteer:
self.gazMatchCache[origString] = splitted
return splitted
else:
self.gazMatchCache[origString] = None
return None
def isInGazetteer(self, string):
return self.getGazetteerMatch(string) != None
def printStats(self):
eventsByType = {}
for event in self.eventsByOrigId.values():
eventsByType[event.get("type")] = eventsByType.get(
event.get("type"), 0) + 1
f = open("missed-events", "wt")
missedEvents = {}
for key in self.examplesByEventOrigId.keys():
if self.examplesByEventOrigId[key] == 0:
if not missedEvents.has_key(
self.eventsByOrigId[key].get("type")):
missedEvents[self.eventsByOrigId[key].get("type")] = []
missedEvents[self.eventsByOrigId[key].get("type")].append(key)
for key in sorted(missedEvents.keys()):
f.write(key + "\n")
for id in sorted(missedEvents[key]):
f.write(" " + id + " ")
if id in self.interSentenceEvents:
f.write("intersentence ")
text = self.headTokensByOrigId[id].get("text").lower()
if not self.isInGazetteer(text):
text = self.headTokensByOrigId[id].get("text").lower()
if "stem_gazetteer" in self.styles:
stemmed = PorterStemmer.stem(text)
f.write("not-in-gazetteer (" + text + " / " + stemmed +
")")
f.write("\n")
f.close()
print >> sys.stderr, "Example selection missed events (other, intersentence, non-gazetteer)"
for key in sorted(eventsByType.keys()):
inter = 0
other = 0
nongaz = 0
if missedEvents.has_key(key):
for id in missedEvents[key]:
tokText = self.headTokensByOrigId[id].get("text").lower()
if id in self.interSentenceEvents:
inter += 1
elif not self.isInGazetteer(tokText):
nongaz += 1
else:
other += 1
if inter == other == nongaz == 0:
print >> sys.stderr, " " + key + " (" + str(
eventsByType[key]) + "): missed none"
else:
print >> sys.stderr, " " + key + " (" + str(
eventsByType[key]) + "): " + str(other) + ", " + str(
inter) + ", " + str(nongaz)
print >> sys.stderr, "Example generation (total, built/skipped)"
for key in sorted(
list(set(self.skippedByType.keys() +
self.builtByType.keys()))):
string = " " + key + ": (" + str(
self.builtByType.get(key, 0) +
self.skippedByType.get(key, 0)) + ", " + str(
self.builtByType.get(key, 0)) + "/" + str(
self.skippedByType.get(key, 0)) + ") ["
for key2 in sorted(self.skippedByTypeAndReason[key].keys()):
string += key2 + ":" + str(
self.skippedByTypeAndReason[key][key2]) + " "
string += "]"
print >> sys.stderr, string
def definePredictedValueRange(self, sentences, elementName):
self.multiEdgeFeatureBuilder.definePredictedValueRange(
sentences, elementName)
def getPredictedValueRange(self):
return self.multiEdgeFeatureBuilder.predictedRange
def preProcessExamples(self, allExamples):
if "normalize" in self.styles:
print >> sys.stderr, " Normalizing feature vectors"
ExampleUtils.normalizeFeatureVectors(allExamples)
return allExamples
# def isPotentialGeniaInteraction(self, e1, e2):
# if e1.get("isName") == "True" and e2.get("isName") == "True":
# return False
# elif e1.get("isName") == "True" and e2.get("isName") == "False":
# return False
# else:
# return True
def getArgumentEntities(self, sentenceGraph, entityNode):
eId = entityNode.get("id")
assert (eId != None)
themeNodes = []
causeNodes = []
for edge in sentenceGraph.interactions:
if edge.get("e1") == eId:
edgeType = edge.get("type")
assert (edgeType in ["Theme", "Cause"]), edgeType
if edgeType == "Theme":
themeNodes.append(
sentenceGraph.entitiesById[edge.get("e2")])
elif edgeType == "Cause":
causeNodes.append(
sentenceGraph.entitiesById[edge.get("e2")])
return themeNodes, causeNodes
def makeGSEvents(self, sentenceGraph):
self.namedEntityHeadTokenIds = set()
self.gsEvents = {} # [token]->[event-type]->[1-n argument sets]
for token in sentenceGraph.tokens:
self.gsEvents[token] = {}
for entity in sentenceGraph.entities:
if entity.get("type") == "neg":
continue
elif entity.get("isName") == "True":
self.namedEntityHeadTokenIds.add(
sentenceGraph.entityHeadTokenByEntity[entity].get("id"))
continue
eId = entity.get("id")
eOrigId = entity.get("origId")
assert not self.eventsByOrigId.has_key(eOrigId)
self.eventsByOrigId[eOrigId] = entity
if not self.examplesByEventOrigId.has_key(eOrigId):
self.examplesByEventOrigId[eOrigId] = 0
if len(sentenceGraph.interSentenceInteractions) > 0:
for interaction in sentenceGraph.interSentenceInteractions:
if interaction.get("e1") == eId:
self.interSentenceEvents.add(eOrigId)
eType = entity.get("type")
arguments = set()
for interaction in sentenceGraph.interactions:
if interaction.get("e1") == eId:
e2 = sentenceGraph.entitiesById[interaction.get("e2")]
e2TokenId = sentenceGraph.entityHeadTokenByEntity[e2].get(
"id")
arguments.add((interaction.get("type"), e2TokenId))
#arguments.add( (interaction.get("type"), interaction.get("e2") ) )
arguments = tuple(sorted(list(arguments)))
eHeadToken = sentenceGraph.entityHeadTokenByEntity[entity]
self.headTokensByOrigId[eOrigId] = eHeadToken
if not self.gsEvents[eHeadToken].has_key(eType):
self.gsEvents[eHeadToken][eType] = {}
if len(arguments) > 0:
if not self.gsEvents[eHeadToken][eType].has_key(arguments):
self.gsEvents[eHeadToken][eType][arguments] = []
self.gsEvents[eHeadToken][eType][arguments].append(eOrigId)
def getGSEventType(self, sentenceGraph, eHeadToken, themeTokens,
causeTokens):
#eHeadToken = sentenceGraph.entityHeadTokenByEntity[entity]
#eType = entity.get("type")
if len(self.gsEvents[eHeadToken]) == 0:
return "neg", []
argumentSet = set()
for themeNode in themeTokens:
if themeNode != None:
argumentSet.add(("Theme", themeNode.get("id")))
for causeNode in causeTokens:
if causeNode != None:
argumentSet.add(("Cause", causeNode.get("id")))
argumentSet = tuple(sorted(list(argumentSet)))
gsTypes = set()
eventIds = []
for eventType in sorted(self.gsEvents[eHeadToken].keys()):
if argumentSet in self.gsEvents[eHeadToken][eventType].keys():
gsTypes.add(eventType)
eventIds.extend(
self.gsEvents[eHeadToken][eventType][argumentSet])
if len(gsTypes) == 0:
return "neg", eventIds
elif len(gsTypes) == 1:
return list(gsTypes)[0], eventIds
else:
gsTypes = sorted(list(gsTypes))
string = gsTypes[0]
for gsType in gsTypes[1:]:
string += "---" + gsType
return string, eventIds
def nxMultiDiGraphToUndirected(self, graph):
undirected = NX10.MultiGraph(name=graph.name)
undirected.add_nodes_from(graph)
undirected.add_edges_from(graph.edges_iter())
return undirected
def buildExamples(self, sentenceGraph):
self.makeGSEvents(sentenceGraph)
self.multiEdgeFeatureBuilder.setFeatureVector(resetCache=True)
self.triggerFeatureBuilder.initSentence(sentenceGraph)
examples = []
exampleIndex = 0
#undirected = sentenceGraph.dependencyGraph.to_undirected()
undirected = self.nxMultiDiGraphToUndirected(
sentenceGraph.dependencyGraph)
paths = NX10.all_pairs_shortest_path(undirected, cutoff=999)
eventTokens = []
nameTokens = []
gazCategories = {None: {"neg": -1}}
#stems = {}
for token in sentenceGraph.tokens:
gazText = self.getGazetteerMatch(token.get("text").lower())
if gazText != None:
gazCategories[token] = self.gazetteer[gazText]
else:
gazCategories[token] = {"neg": -1}
if token.get("id") in self.namedEntityHeadTokenIds:
nameTokens.append(token)
elif gazText != None:
eventTokens.append(token)
allTokens = eventTokens + nameTokens
#if len(nameTokens) == 0: # there can be no events in this sentence
# self.gsEvents = None
# return []
for token in eventTokens:
#gazCategories = self.gazetteer[token.get("text").lower()]
#print token.get("text").lower(), gazCategories
#multiargument = False
potentialRegulation = False
potentialBinding = False
for key in gazCategories[token].keys():
if key in [
"Regulation", "Positive_regulation",
"Negative_regulation"
]:
#multiargument = True
potentialRegulation = True
break
for key in gazCategories[token].keys():
if key in ["Binding"]:
#multiargument = True
potentialBinding = True
break
if potentialRegulation:
combinations = combine.combine(allTokens, allTokens + [None])
else:
combinations = []
for t2 in nameTokens: #allTokens:
combinations.append((t2, None))
if potentialBinding:
for i in range(len(nameTokens) - 1):
for j in range(i + 1, len(nameTokens)):
combinations.append(
((nameTokens[i], nameTokens[j]), None))
for combination in combinations:
theme2Binding = False
if type(combination[0]) == types.ListType or type(
combination[0]) == types.TupleType:
theme2Binding = True
categoryName, eventIds = self.getGSEventType(
sentenceGraph, token, combination[0], [combination[1]])
else:
categoryName, eventIds = self.getGSEventType(
sentenceGraph, token, [combination[0]],
[combination[1]])
for id in eventIds:
self.examplesByEventOrigId[id] += 1
skip = False
s = self.skippedByTypeAndReason
if not s.has_key(categoryName):
s[categoryName] = {}
if gazCategories[token].get("neg", -1) > 0.99:
pass
if combination[0] == combination[1]:
pass #skip = True
if combination[0] == token or combination[1] == token:
if theme2Binding or gazCategories[combination[0]].get(
"Positive_regulation", -1) < 0:
skip = True
s[categoryName]["duparg"] = s[categoryName].get(
"duparg", 0) + 1
if combination[0] == None and combination[1] == None:
skip = True
s[categoryName]["noncmb"] = s[categoryName].get(
"noncmb", 0) + 1
validCat = self.isValidEvent(paths, sentenceGraph, token,
combination)
if validCat != "OK": #not self.isValidEvent(paths, sentenceGraph, token, combination):
skip = True
#s[categoryName]["valid"] = s[categoryName].get("valid", 0) + 1
s[categoryName][validCat] = s[categoryName].get(
validCat, 0) + 1
if len(nameTokens) == 0:
skip = True
s[categoryName]["non"] = s[categoryName].get("non", 0) + 1
if theme2Binding:
if gazCategories[combination[0][0]].get(
"neg",
-1) > 0.99 or gazCategories[combination[0][1]].get(
"neg", -1) > 0.99:
skip = True
s[categoryName]["gazarg"] = s[categoryName].get(
"gazarg", 0) + 1
else:
if gazCategories[combination[0]].get(
"neg",
-1) > 0.99 or gazCategories[combination[1]].get(
"neg", -1) > 0.99:
skip = True
s[categoryName]["gazarg"] = s[categoryName].get(
"gazarg", 0) + 1
if (skip and self.negFrac
== None) or (skip and self.negFrac != None
and categoryName == "neg"):
self.skippedByType[categoryName] = self.skippedByType.get(
categoryName, 0) + 1
else:
if self.negFrac == None or categoryName != "neg" or (
categoryName == "neg"
and self.negRand.random() < self.negFrac):
self.builtByType[categoryName] = self.builtByType.get(
categoryName, 0) + 1
if theme2Binding:
newExample = self.buildExample(
exampleIndex, sentenceGraph, paths, token,
combination[0], [combination[1]])
else:
newExample = self.buildExample(
exampleIndex, sentenceGraph, paths, token,
[combination[0]], [combination[1]])
if len(eventIds) > 0:
newExample[3]["numEv"] = str(len(eventIds))
examples.append(newExample)
exampleIndex += 1
self.gsEvents = None
return examples
def isValidEvent(self, paths, sentenceGraph, eventToken, argTokens):
# This one lets through Positive_regulations that are
# excluded from the duparg-rule
oneTokenEvent = True
for argToken in argTokens:
if argToken != None and eventToken != argToken:
oneTokenEvent = False
break
if oneTokenEvent:
return "OK" #True
if not paths.has_key(eventToken):
return "nopaths" #False
newArgTokens = []
for argToken in argTokens:
if type(argToken) == types.ListType or type(
argToken) == types.TupleType:
newArgTokens.extend(argToken)
else:
newArgTokens.append(argToken)
argTokens = newArgTokens
oneArgValid = True
if False:
oneArgValid = False
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
#print argToken, argToken.get("text")
#return False
continue
depPaths = self.multiEdgeFeatureBuilder.getEdgeCombinations(
sentenceGraph.dependencyGraph, path)
validArg = False
for p in depPaths:
if p in self.pathGazetteer and self.pathGazetteer[p][0] > 0:
validArg = True
break
if validArg:
oneArgValid = True
# The first and last dependency of a path
if False:
oneEdgeValid = False
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
#print argToken, argToken.get("text")
#return False
continue
depPaths = self.multiEdgeFeatureBuilder.getEdgeCombinations(
sentenceGraph.dependencyGraph, path)
validArg = False
for p in depPaths:
p = p.replace("<", "")
p = p.replace(">", "")
p = p.split(".")
pair = (p[0], p[-1])
if pair in self.pathGazetteerPairs:
validArg = True
break
if validArg:
oneEdgeValid = True
break
if not oneEdgeValid:
return "pair"
# Event must not have unseen dependencies in any of its paths
if False:
for argToken in argTokens:
if argToken == None:
continue
if paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
else:
continue
deps = self.multiEdgeFeatureBuilder.getEdgeSet(
sentenceGraph.dependencyGraph, path)
for d in deps:
if d[2].get("type") not in self.pathGazetteerDependencies:
#print "Unk", d[2].get("type")
return "unkdep"
# validArg = True
# for p in depPaths:
# if p in self.pathGazetteer and self.pathGazetteer[p][0] == 0:
# validArg = False
# break
# if not validArg:
# return False
if not oneArgValid:
return "novalidarg" #False
return "OK" #True
def setGazetteerFeatures(self, token, tag):
gazText = self.getGazetteerMatch(token.get("text").lower())
if gazText != None:
gazCategories = self.gazetteer[gazText]
for k, v in gazCategories.iteritems():
self.setFeature(tag + "gaz_event_value_" + k, v)
self.setFeature(tag + "gaz_event_" + k, 1)
if k.find("egulation") != -1:
self.setFeature(tag + "potReg", 1)
else:
self.setFeature(tag + "notInGaz", 1)
def buildExample(self,
exampleIndex,
sentenceGraph,
paths,
eventToken,
themeTokens,
causeTokens=None):
features = {}
self.features = features
categoryName, eventIds = self.getGSEventType(sentenceGraph, eventToken,
themeTokens, causeTokens)
category = self.classSet.getId(categoryName)
potentialRegulation = False
eventTokenText = eventToken.get("text").lower()
gazText = self.getGazetteerMatch(eventTokenText)
gazCategories = self.gazetteer[gazText]
for k, v in gazCategories.iteritems():
if k.find("egulation") != -1:
potentialRegulation = True
self.setGazetteerFeatures(eventToken, "")
self.triggerFeatureBuilder.setFeatureVector(self.features)
self.triggerFeatureBuilder.tag = "trg_"
self.triggerFeatureBuilder.buildFeatures(eventToken)
themeEntities = []
hasTheme = False
if len(themeTokens) > 1:
self.setFeature("multiTheme", 1)
potentialRegulation = False
for themeToken in themeTokens:
if themeToken != None:
hasTheme = True
self.setGazetteerFeatures(themeToken, "theme_")
self.buildArgumentFeatures(sentenceGraph, paths, features,
eventToken, themeToken, "theme_")
self.triggerFeatureBuilder.tag = "ttrg_"
self.triggerFeatureBuilder.buildFeatures(themeToken)
themeEntity = None
if sentenceGraph.entitiesByToken.has_key(themeToken):
for themeEntity in sentenceGraph.entitiesByToken[
themeToken]:
if themeEntity.get("isName") == "True":
self.setFeature("themeProtein", 1)
if potentialRegulation:
self.setFeature("regulationThemeProtein", 1)
themeEntities.append(themeEntity)
break
if not features.has_key("themeProtein"):
self.setFeature("themeEvent", 1)
self.setFeature("nestingEvent", 1)
if potentialRegulation:
self.setFeature("regulationThemeEvent", 1)
if hasTheme:
self.setFeature("noTheme", 1)
causeEntities = []
hasCause = False
for causeToken in causeTokens:
if causeToken != None:
hasCause = True
self.setGazetteerFeatures(causeToken, "cause_")
self.buildArgumentFeatures(sentenceGraph, paths, features,
eventToken, causeToken, "cause_")
self.triggerFeatureBuilder.tag = "ctrg_"
self.triggerFeatureBuilder.buildFeatures(causeToken)
causeEntity = None
if sentenceGraph.entitiesByToken.has_key(causeToken):
for causeEntity in sentenceGraph.entitiesByToken[
causeToken]:
if causeEntity.get("isName") == "True":
self.setFeature("causeProtein", 1)
if potentialRegulation:
self.setFeature("regulationCauseProtein", 1)
causeEntities.append(causeEntity)
break
if not features.has_key("causeProtein"):
self.setFeature("causeEvent", 1)
self.setFeature("nestingEvent", 1)
if potentialRegulation:
self.setFeature("regulationCauseEvent", 1)
if not hasCause:
self.setFeature("noCause", 1)
self.triggerFeatureBuilder.tag = ""
self.triggerFeatureBuilder.setFeatureVector(None)
# Common features
# if e1Type.find("egulation") != -1: # leave r out to avoid problems with capitalization
# if entity2.get("isName") == "True":
# features[self.featureSet.getId("GENIA_regulation_of_protein")] = 1
# else:
# features[self.featureSet.getId("GENIA_regulation_of_event")] = 1
# define extra attributes
extra = {"xtype": "event", "type": categoryName}
extra["et"] = eventToken.get("id")
if len(eventIds) > 0:
eventIds.sort()
extra["eids"] = ""
for eventId in eventIds:
extra["eids"] += str(eventId) + ","
extra["eids"] = extra["eids"][:-1]
for themeToken in themeTokens:
if themeToken != None:
if extra.has_key("tt"):
extra["tt"] = extra["tt"] + "," + themeToken.get("id")
else:
extra["tt"] = themeToken.get("id")
for themeEntity in themeEntities:
if extra.has_key("t"):
extra["t"] = extra["t"] + "," + themeEntity.get("id")
else:
extra["t"] = themeEntity.get("id")
for causeToken in causeTokens:
if causeToken != None:
extra["ct"] = causeTokens[0].get("id")
if len(causeEntities) > 0:
extra["c"] = causeEntities[0].get("id")
sentenceOrigId = sentenceGraph.sentenceElement.get("origId")
if sentenceOrigId != None:
extra["SOID"] = sentenceOrigId
# make example
#assert (category == 1 or category == -1)
self.features = None
return (sentenceGraph.getSentenceId() + ".x" + str(exampleIndex),
category, features, extra)
def buildArgumentFeatures(self, sentenceGraph, paths, features, eventToken,
argToken, tag):
#eventToken = sentenceGraph.entityHeadTokenByEntity[eventNode]
#argToken = sentenceGraph.entityHeadTokenByEntity[argNode]
self.multiEdgeFeatureBuilder.tag = tag
self.multiEdgeFeatureBuilder.setFeatureVector(features, None, None,
False)
if eventToken != argToken and paths.has_key(
eventToken) and paths[eventToken].has_key(argToken):
path = paths[eventToken][argToken]
edges = self.multiEdgeFeatureBuilder.getEdges(
sentenceGraph.dependencyGraph, path)
else:
path = [eventToken, argToken]
edges = None
# if not "disable_entity_features" in self.styles:
# # doesn't improve beyond 52.32
# self.multiEdgeFeatureBuilder.buildEntityFeatures(sentenceGraph)
# # buildPathLengthFeatures 52.32 -> 51-51
# self.multiEdgeFeatureBuilder.buildPathLengthFeatures(path)
# if not "disable_terminus_features" in self.styles:
# # didn't improve from 52.32
# self.multiEdgeFeatureBuilder.buildTerminusTokenFeatures(path, sentenceGraph) # remove for fast
if not "disable_single_element_features" in self.styles:
# 50.74 -> 52.32
self.multiEdgeFeatureBuilder.buildSingleElementFeatures(
path, edges, sentenceGraph)
if not "disable_ngram_features" in self.styles:
# ngrams alone - 50.74
self.multiEdgeFeatureBuilder.buildPathGrams(
2, path, edges, sentenceGraph) # remove for fast
self.multiEdgeFeatureBuilder.buildPathGrams(
3, path, edges, sentenceGraph) # remove for fast
self.multiEdgeFeatureBuilder.buildPathGrams(
4, path, edges, sentenceGraph) # remove for fast
# disabling length 4 drops performance
# if not "disable_path_edge_features" in self.styles:
# self.multiEdgeFeatureBuilder.buildPathEdgeFeatures(path, edges, sentenceGraph)
# self.multiEdgeFeatureBuilder.buildSentenceFeatures(sentenceGraph)
# buildSentenceFeatures seems to decrease performance by 8 %-points
self.multiEdgeFeatureBuilder.setFeatureVector(None, None, None, False)
self.multiEdgeFeatureBuilder.tag = ""
class PathGazetteer(ExampleBuilder):
def __init__(self, includeNeg=False):
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(None)
self.gazetteer = {}
self.includeNeg = includeNeg
@classmethod
def build(cls, input, output, parse, tokenization=None, includeNeg=False):
p = PathGazetteer(includeNeg)
sentences = cls.getSentences(input, parse, tokenization)
counter = ProgressCounter(len(sentences), "Build path gazetteer")
for sentence in sentences:
counter.update(1, "Building path gazetteer ("+sentence[0].getSentenceId()+"): ")
p.processSentence(sentence[0])
p.calculateFractions()
f = open(output, "wt")
for key in sorted(p.gazetteer.keys()):
v = p.gazetteer[key]
f.write(key + " " + str(v[0]) + " " + str(v[1]) + " " + str(v[2]) + " " + str(v[3]) + "\n")
f.close()
@classmethod
def load(cls, filename):
gazetteer = {}
f = open(filename, "rt")
for line in f.readlines():
splits = line.split()
gazetteer[splits[0]] = (splits[1], splits[2], splits[3], splits[4])
f.close()
return gazetteer
@classmethod
def getDependencies(cls, gazetteer):
dependencies = set()
for k in gazetteer.keys():
k = k.strip()
k = k.replace("<","")
k = k.replace(">","")
for dep in k.split("."):
dependencies.add(dep)
return dependencies
@classmethod
def getPairs(self, gazetteer):
pairs = []
for k in gazetteer.keys():
k = k.strip()
k = k.replace("<","")
k = k.replace(">","")
splits = k.split(".")
pairs.append( (splits[0], splits[-1]) )
return pairs
def calculateFractions(self):
numInstances = 0
numPos = 0
numNeg = 0
for v in self.gazetteer.values():
numInstances += v[2] + v[3]
numPos += v[2]
numNeg += v[3]
print >> sys.stderr, "Total paths:", numInstances
print >> sys.stderr, "Positives:", numPos
print >> sys.stderr, "Negatives:", numNeg
for v in self.gazetteer.values():
assert v[0] == None and v[1] == None
if v[3] == None:
assert v[2] != None
v[0] = 1
else:
v[0] = float(v[2]) / float(v[2] + v[3])
v[1] = float(v[2] + v[3]) / float(numInstances)
def nxMultiDiGraphToUndirected(self, graph):
undirected = NX10.MultiGraph(name=graph.name)
undirected.add_nodes_from(graph)
undirected.add_edges_from(graph.edges_iter())
return undirected
def processSentence(self, sentenceGraph):
#undirected = sentenceGraph.dependencyGraph.to_undirected()
undirected = self.nxMultiDiGraphToUndirected(sentenceGraph.dependencyGraph)
paths = NX10.all_pairs_shortest_path(undirected, cutoff=999)
self.multiEdgeFeatureBuilder.setFeatureVector()
positivePaths = {} # per sentence, a path may still be negative in another sentence
for interaction in sentenceGraph.interactions:
e1 = sentenceGraph.entitiesById[interaction.get("e1")]
e1Token = sentenceGraph.entityHeadTokenByEntity[e1]
e2 = sentenceGraph.entitiesById[interaction.get("e2")]
e2Token = sentenceGraph.entityHeadTokenByEntity[e2]
if paths.has_key(e1Token) and paths[e1Token].has_key(e2Token):
if not positivePaths.has_key(e1Token):
positivePaths[e1Token] = {}
positivePaths[e1Token][e2Token] = True
path = paths[e1Token][e2Token]
for comb in self.multiEdgeFeatureBuilder.getEdgeCombinations(sentenceGraph.dependencyGraph, path):
if not self.gazetteer.has_key(comb):
self.gazetteer[comb] = [None,None,0,0]
self.gazetteer[comb][2] += 1
if self.includeNeg:
for t1 in sentenceGraph.tokens:
for t2 in sentenceGraph.tokens:
if t1 == t2:
continue
if positivePaths.has_key(t1) and positivePaths[t1].has_key(t2):
continue
if paths.has_key(t1) and paths[t1].has_key(t2):
path = paths[t1][t2]
for comb in self.multiEdgeFeatureBuilder.getEdgeCombinations(sentenceGraph.dependencyGraph, path):
if not self.gazetteer.has_key(comb):
self.gazetteer[comb] = [None,None,0,0]
self.gazetteer[comb][3] += 1