Examples of ChunkedSentenceReader

edu.washington.cs.knowitall.nlp.ChunkedSentenceReader
A class that combines a SentenceExtractor with a SentenceChunker to read NpChunkedSentence objects from a BufferedReader. This object uses the SentenceExtractor to obtain String sentences from the input, and then chunks the sentences using the SentenceChunker object. @author afader

Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

        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,

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

            reader = new BufferedReader(new InputStreamReader(System.in));
        } else {
            reader = new BufferedReader(new FileReader(args[0]));
        }


        ChunkedSentenceReader sentReader = DefaultObjects
                .getDefaultSentenceReader(reader);


        OutputStream outStream = new FileOutputStream(args[1]);
        LabeledBinaryExtractionWriter out = new LabeledBinaryExtractionWriter(
                outStream);


        ReVerbExtractor extractor = new ReVerbExtractor();


        for (ChunkedSentence sent : sentReader.getSentences()) {
            for (ChunkedBinaryExtraction extr : extractor.extract(sent)) {
                LabeledBinaryExtraction extrLabeled = new LabeledBinaryExtraction(
                        extr, 0);
                out.writeExtraction(extrLabeled);
            }

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

    private void extractFromNextFile() throws IOException, ExtractorException {
        File f = getNextFile();
        currentFile = f.getAbsolutePath();
        BufferedReader in = new BufferedReader(new InputStreamReader(
                new FileInputStream(f)));
        ChunkedSentenceReader reader = getSentenceReader(in);
        message("Extracting from " + f);
        extractFromSentReader(reader);
    }

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

    }


    private void extractFromStdin() throws IOException, ExtractorException {
        currentFile = "stdin";
        BufferedReader in = new BufferedReader(new InputStreamReader(System.in));
        ChunkedSentenceReader reader = getSentenceReader(in);
        extractFromSentReader(reader);
    }

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

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


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


        Joiner joiner = Joiner.on("\t");


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


            sentenceCount++;


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

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

        }
    }


    public static ChunkedSentenceReader getDefaultSentenceReader(Reader in)
            throws IOException {
        ChunkedSentenceReader reader = new ChunkedSentenceReader(in,
                getDefaultSentenceExtractor());
        return reader;
    }

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Examples of edu.washington.cs.knowitall.nlp.ChunkedSentenceReader

        return reader;
    }


    public static ChunkedSentenceReader getDefaultSentenceReaderHtml(Reader in)
            throws IOException {
        ChunkedSentenceReader reader = new ChunkedSentenceReader(in,
                getDefaultHtmlSentenceExtractor());
        return reader;
    }

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