Examples of edu.washington.cs.knowitall.argumentidentifier.ConfidenceMetric

        System.err.print("Initializing extractor...");
        R2A2 extractor = new R2A2();
        System.err.println("Done.");


        System.err.print("Initializing confidence function...");
        ConfidenceMetric scoreFunc = new ConfidenceMetric();
        System.err.println("Done.");


        System.err.print("Initializing NLP tools...");
        ChunkedSentenceReader sentReader = DefaultObjects
                .getDefaultSentenceReader(reader);
        System.err.println("Done.");


        for (ChunkedSentence sent : sentReader.getSentences()) {


            sentenceCount++;


            String sentString = sent.getTokensAsString();
            System.out.println(String.format("sentence\t%s\t%s", sentenceCount,
                    sentString));


            for (ChunkedBinaryExtraction extr : extractor.extract(sent)) {


                double score = scoreFunc.getConf(extr);


                String arg1 = extr.getArgument1().toString();
                String rel = extr.getRelation().toString();
                String arg2 = extr.getArgument2().toString();

            if (useArgLearner) {
                messageInc("Initializing ReVerb+ArgLearner extractor...");
                extractor = new R2A2();
                message("Done.");
                messageInc("Initializing confidence function...");
                confFunc = new ConfidenceMetric();
                message("Done.");
            } else {
                messageInc("Initializing ReVerb extractor...");
                extractor = new ReVerbExtractor(minFreq, useSynLexConstraints,
                        mergeOverlapRels, allowUnary);

Examples of edu.washington.cs.knowitall.argumentidentifier.ConfidenceMetric

Related Classes of edu.washington.cs.knowitall.argumentidentifier.ConfidenceMetric