def __init__(self, style=None, length=None, types=[], featureSet=None, classSet=None):
# reset style regardless of input
#style="trigger_features:typed:directed:no_linear:entities:genia_limits:noMasking:maxFeatures"
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
assert( classSet.getId("neg") == 1 )
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
defaultNone = ["binary", "trigger_features","typed","directed","no_linear","entities","genia_limits",
"noAnnType", "noMasking", "maxFeatures", "no_merge", "disable_entity_features",
"disable_single_element_features", "disable_ngram_features", "disable_path_edge_features"]
defaultParameters = {}
for name in defaultNone:
defaultParameters[name] = None
defaultParameters["keep_intersentence"] = False
defaultParameters["keep_intersentence_gold"] = True
self.styles = self._setDefaultParameters(defaultParameters)
self.styles = self.getParameters(style)
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet)
self.multiEdgeFeatureBuilder.noAnnType = self.styles["noAnnType"]
self.multiEdgeFeatureBuilder.maskNamedEntities = not self.styles["noMasking"]
self.multiEdgeFeatureBuilder.maximum = self.styles["maxFeatures"]
#self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
self.pathLengths = length
assert(self.pathLengths == None)
self.types = types
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet)
self.triggerFeatureBuilder.useNonNameEntities = True
def __init__(self, style=None, length=None, types=[], featureSet=None, classSet=None):
# reset style regardless of input
#style="trigger_features:typed:directed:no_linear:entities:genia_limits:noMasking:maxFeatures"
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
assert( classSet.getId("neg") == 1 )
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
defaultNone = ["binary", "trigger_features","typed","directed","no_linear","entities","genia_limits",
"noAnnType", "noMasking", "maxFeatures", "no_merge", "disable_entity_features",
"disable_single_element_features", "disable_ngram_features", "disable_path_edge_features"]
defaultParameters = {}
for name in defaultNone:
defaultParameters[name] = None
defaultParameters["keep_intersentence"] = False
defaultParameters["keep_intersentence_gold"] = True
defaultParameters["no_arg_count_upper_limit"] = False
self.styles = self._setDefaultParameters(defaultParameters)
self.styles = self.getParameters(style)
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet)
self.multiEdgeFeatureBuilder.noAnnType = self.styles["noAnnType"]
self.multiEdgeFeatureBuilder.maskNamedEntities = not self.styles["noMasking"]
self.multiEdgeFeatureBuilder.maximum = self.styles["maxFeatures"]
#self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
self.pathLengths = length
assert(self.pathLengths == None)
self.types = types
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet)
self.triggerFeatureBuilder.useNonNameEntities = True
def processCorpus(self,
input,
output,
gold=None,
append=False,
allowNewIds=True,
structureAnalyzer=None):
if self.styles["sdb_merge"]:
structureAnalyzer.determineNonOverlappingTypes()
self.structureAnalyzer = structureAnalyzer
ExampleBuilder.processCorpus(self, input, output, gold, append,
allowNewIds, structureAnalyzer)
def __init__(self, style=None, types=[], featureSet=None, classSet=None):
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
assert( classSet.getId("neg") == 1 or (len(classSet.Ids)== 2 and classSet.getId("neg") == -1) )
# Basic style = trigger_features:typed:directed:no_linear:entities:auto_limits:noMasking:maxFeatures
self._setDefaultParameters([
"directed", "undirected", "headsOnly", "graph_kernel", "noAnnType", "mask_nodes", "limit_features",
"no_auto_limits", "co_features", "genia_features", "bi_features", #"genia_limits", "epi_limits", "id_limits", "rel_limits", "bb_limits", "bi_limits", "co_limits",
"genia_task1", "ontology", "nodalida", "bacteria_renaming", "no_trigger_features", "rel_features",
"drugbank_features", "ddi_mtmx", "evex", "giuliano", "random", "themeOnly", "causeOnly", "no_path", "token_nodes",
"skip_extra_triggers", "headsOnly", "graph_kernel", "no_task", "no_dependency",
"disable_entity_features", "disable_terminus_features", "disable_single_element_features",
"disable_ngram_features", "disable_path_edge_features", "linear_features", "subset", "binary", "pos_only",
"entity_type", "filter_shortest_path", "maskTypeAsProtein", "keep_neg", "metamap",
"sdb_merge", "sdb_features", "ontobiotope_features", "no_self_loops", "full_entities",
"no_features", "wordnet", "wordvector", "se10t8_undirected", "filter_types", "doc_extra",
"entity_extra"])
self.styles = self.getParameters(style)
#if style == None: # no parameters given
# style["typed"] = style["directed"] = style["headsOnly"] = True
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet, self.styles)
# NOTE Temporarily re-enabling predicted range
#self.multiEdgeFeatureBuilder.definePredictedValueRange([], None)
if self.styles["graph_kernel"]:
from FeatureBuilders.GraphKernelFeatureBuilder import GraphKernelFeatureBuilder
self.graphKernelFeatureBuilder = GraphKernelFeatureBuilder(self.featureSet)
if self.styles["noAnnType"]:
self.multiEdgeFeatureBuilder.noAnnType = True
if self.styles["mask_nodes"]:
self.multiEdgeFeatureBuilder.maskNamedEntities = True
else:
self.multiEdgeFeatureBuilder.maskNamedEntities = False
if not self.styles["limit_features"]:
self.multiEdgeFeatureBuilder.maximum = True
if self.styles["genia_task1"]:
self.multiEdgeFeatureBuilder.filterAnnTypes.add("Entity")
self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
if self.styles["ontology"]:
self.multiEdgeFeatureBuilder.ontologyFeatureBuilder = BioInferOntologyFeatureBuilder(self.featureSet)
if self.styles["ontobiotope_features"]:
self.ontobiotopeFeatureBuilder = OntoBiotopeFeatureBuilder(self.featureSet)
if self.styles["nodalida"]:
self.nodalidaFeatureBuilder = NodalidaFeatureBuilder(self.featureSet)
if self.styles["bacteria_renaming"]:
self.bacteriaRenamingFeatureBuilder = BacteriaRenamingFeatureBuilder(self.featureSet)
if not self.styles["no_trigger_features"]:
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet, self.styles)
self.triggerFeatureBuilder.useNonNameEntities = True
if self.styles["noAnnType"]:
self.triggerFeatureBuilder.noAnnType = True
if self.styles["genia_task1"]:
self.triggerFeatureBuilder.filterAnnTypes.add("Entity")
#self.bioinferOntologies = OntologyUtils.loadOntologies(OntologyUtils.g_bioInferFileName)
if self.styles["rel_features"]:
self.relFeatureBuilder = RELFeatureBuilder(featureSet)
if self.styles["drugbank_features"]:
self.drugFeatureBuilder = DrugFeatureBuilder(featureSet)
if self.styles["evex"]:
self.evexFeatureBuilder = EVEXFeatureBuilder(featureSet)
if self.styles["wordnet"]:
self.wordNetFeatureBuilder = WordNetFeatureBuilder(featureSet)
if self.styles["wordvector"]:
self.wordVectorFeatureBuilder = WordVectorFeatureBuilder(featureSet, self.styles)
if self.styles["giuliano"]:
self.giulianoFeatureBuilder = GiulianoFeatureBuilder(featureSet)
self.types = types
if self.styles["random"]:
from FeatureBuilders.RandomFeatureBuilder import RandomFeatureBuilder
self.randomFeatureBuilder = RandomFeatureBuilder(self.featureSet)
def processCorpus(self, input, output, gold=None, append=False, allowNewIds=True, structureAnalyzer=None):
if self.styles["sdb_merge"]:
structureAnalyzer.determineNonOverlappingTypes()
self.structureAnalyzer = structureAnalyzer
ExampleBuilder.processCorpus(self, input, output, gold, append, allowNewIds, structureAnalyzer)
def __init__(self, style=None, length=None, types=[], featureSet=None, classSet=None):
if featureSet == None:
featureSet = IdSet()
if classSet == None:
classSet = IdSet(1)
else:
classSet = classSet
assert( classSet.getId("neg") == 1 or (len(classSet.Ids)== 2 and classSet.getId("neg") == -1) )
ExampleBuilder.__init__(self, classSet=classSet, featureSet=featureSet)
self._setDefaultParameters([
"typed", "directed", "headsOnly", "graph_kernel", "noAnnType", "noMasking", "maxFeatures",
"genia_limits", "epi_limits", "id_limits", "rel_limits", "bb_limits", "bi_limits", "co_limits",
"genia_task1", "ontology", "nodalida", "bacteria_renaming", "trigger_features", "rel_features",
"ddi_features", "ddi_mtmx", "evex", "giuliano", "random", "themeOnly", "causeOnly", "no_path", "entities",
"skip_extra_triggers", "headsOnly", "graph_kernel", "trigger_features", "no_task", "no_dependency",
"disable_entity_features", "disable_terminus_features", "disable_single_element_features",
"disable_ngram_features", "disable_path_edge_features", "no_linear", "subset", "binary", "pos_only",
"entity_type", "filter_shortest_path", "maskTypeAsProtein"])
self.styles = self.getParameters(style)
if style == None: # no parameters given
style["typed"] = style["directed"] = style["headsOnly"] = True
# self.styles = style
# if "selftrain_group" in self.styles:
# self.selfTrainGroups = set()
# if "selftrain_group-1" in self.styles:
# self.selfTrainGroups.add("-1")
# if "selftrain_group0" in self.styles:
# self.selfTrainGroups.add("0")
# if "selftrain_group1" in self.styles:
# self.selfTrainGroups.add("1")
# if "selftrain_group2" in self.styles:
# self.selfTrainGroups.add("2")
# if "selftrain_group3" in self.styles:
# self.selfTrainGroups.add("3")
# print >> sys.stderr, "Self-train-groups:", self.selfTrainGroups
self.multiEdgeFeatureBuilder = MultiEdgeFeatureBuilder(self.featureSet, self.styles)
# NOTE Temporarily re-enabling predicted range
#self.multiEdgeFeatureBuilder.definePredictedValueRange([], None)
if self.styles["graph_kernel"]:
from FeatureBuilders.GraphKernelFeatureBuilder import GraphKernelFeatureBuilder
self.graphKernelFeatureBuilder = GraphKernelFeatureBuilder(self.featureSet)
if self.styles["noAnnType"]:
self.multiEdgeFeatureBuilder.noAnnType = True
if self.styles["noMasking"]:
self.multiEdgeFeatureBuilder.maskNamedEntities = False
if self.styles["maxFeatures"]:
self.multiEdgeFeatureBuilder.maximum = True
if self.styles["genia_task1"]:
self.multiEdgeFeatureBuilder.filterAnnTypes.add("Entity")
self.tokenFeatureBuilder = TokenFeatureBuilder(self.featureSet)
if self.styles["ontology"]:
self.multiEdgeFeatureBuilder.ontologyFeatureBuilder = BioInferOntologyFeatureBuilder(self.featureSet)
if self.styles["nodalida"]:
self.nodalidaFeatureBuilder = NodalidaFeatureBuilder(self.featureSet)
if self.styles["bacteria_renaming"]:
self.bacteriaRenamingFeatureBuilder = BacteriaRenamingFeatureBuilder(self.featureSet)
if self.styles["trigger_features"]:
self.triggerFeatureBuilder = TriggerFeatureBuilder(self.featureSet, self.styles)
self.triggerFeatureBuilder.useNonNameEntities = True
if self.styles["genia_task1"]:
self.triggerFeatureBuilder.filterAnnTypes.add("Entity")
#self.bioinferOntologies = OntologyUtils.loadOntologies(OntologyUtils.g_bioInferFileName)
if self.styles["rel_features"]:
self.relFeatureBuilder = RELFeatureBuilder(featureSet)
if self.styles["ddi_features"]:
self.drugFeatureBuilder = DrugFeatureBuilder(featureSet)
if self.styles["evex"]:
self.evexFeatureBuilder = EVEXFeatureBuilder(featureSet)
if self.styles["giuliano"]:
self.giulianoFeatureBuilder = GiulianoFeatureBuilder(featureSet)
self.pathLengths = length
assert(self.pathLengths == None)
self.types = types
if self.styles["random"]:
from FeatureBuilders.RandomFeatureBuilder import RandomFeatureBuilder
self.randomFeatureBuilder = RandomFeatureBuilder(self.featureSet)
