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Change Parameter Type input : FeaturizerInput to input : KBPInput in method public features(input KBPInput) : Counter<String> in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method public classify(input KBPInput) : Pair<String,Double> in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : KBPStatisticalExtractor.FeaturizerInput to input : KBPInput in method public classify(input KBPInput) : Pair<String,Double> in class edu.stanford.nlp.ie.KBPSemgrexExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private denseFeatures(input KBPInput, doc Document, sentence Sentence, feats ClassicCounter<String>) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : KBPStatisticalExtractor.FeaturizerInput to input : KBPInput in method public classify(input KBPInput) : Pair<String,Double> in class edu.stanford.nlp.ie.KBPRelationExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private dependencyFeatures(input KBPInput, doc Document, sentence Sentence, feats ClassicCounter<String>) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : KBPStatisticalExtractor.FeaturizerInput to input : KBPInput in method public classify(input KBPInput) : Pair<String,Double> in class edu.stanford.nlp.ie.KBPTokensregexExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private withMentionsPositioned(input KBPInput, feature String) : String in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private relationSpecificFeatures(input KBPInput, doc Document, sentence Sentence, feats ClassicCounter<String>) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type input : KBPStatisticalExtractor.FeaturizerInput to input : KBPInput in method private matches(sentence CoreMap, rulesForRel Collection<SemgrexPattern>, input KBPInput, graph SemanticGraph) : boolean in class edu.stanford.nlp.ie.KBPSemgrexExtractor |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private spanBetweenMentions(input KBPInput, selector Function<CoreLabel,E>) : List<E> in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type subjectType : KBPRelationExtractor.NERTag to subjectType : NERTag in method public KBPInput(subjectSpan Span, objectSpan Span, subjectType NERTag, objectType NERTag, sentence Sentence) in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput |
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Change Parameter Type input : FeaturizerInput to input : KBPInput in method private surfaceFeatures(input KBPInput, doc Document, simpleSentence Sentence, feats ClassicCounter<String>) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Parameter Type objectType : KBPRelationExtractor.NERTag to objectType : NERTag in method public KBPInput(subjectSpan Span, objectSpan Span, subjectType NERTag, objectType NERTag, sentence Sentence) in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput |
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Change Variable Type classifier : Classifier<String,String> to classifier : KBPStatisticalExtractor in method public main(args String[]) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Variable Type trainExamples : List<Pair<FeaturizerInput,String>> to trainExamples : List<Pair<KBPInput,String>> in method public main(args String[]) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Variable Type testExamples : List<Pair<FeaturizerInput,String>> to testExamples : List<Pair<KBPInput,String>> in method public main(args String[]) : void in class edu.stanford.nlp.ie.KBPStatisticalExtractor |
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Change Variable Type input : KBPStatisticalExtractor.FeaturizerInput to input : KBPRelationExtractor.KBPInput in method public annotate(annotation Annotation) : void in class edu.stanford.nlp.pipeline.KBPAnnotator |
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