Apache OpenNLP:不能将java.io.FileInputStream转换为opennlp.tools.util.InputStreamFactory

Question

我正在尝试使用ApacheApache1.7构建一个自定义OpenNLP。从可用的这里文档中，我开发了以下代码

import java.io.BufferedOutputStream;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.charset.Charset;

import opennlp.tools.namefind.NameFinderME;
import opennlp.tools.namefind.NameSample;
import opennlp.tools.namefind.NameSampleDataStream;
import opennlp.tools.namefind.TokenNameFinderFactory;
import opennlp.tools.namefind.TokenNameFinderModel;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.util.TrainingParameters;

public class PersonClassifierTrainer {

        static String modelFile = "/opt/NLP/data/en-ner-customperson.bin";

        public static void main(String[] args) throws IOException {

            Charset charset = Charset.forName("UTF-8");
            **ObjectStream<String> lineStream = new PlainTextByLineStream(new FileInputStream("/opt/NLP/data/person.train"), charset);**
            ObjectStream<NameSample> sampleStream = new NameSampleDataStream(lineStream);

            TokenNameFinderModel model;
            TokenNameFinderFactory nameFinderFactory = null;

            try {
                model = NameFinderME.train("en", "person", sampleStream, TrainingParameters.defaultParams(),
                        nameFinderFactory);
            } finally {
                sampleStream.close();
            }

            BufferedOutputStream modelOut = null;

            try {
                modelOut = new BufferedOutputStream(new FileOutputStream(modelFile));
                model.serialize(modelOut);
            } finally {
                if (modelOut != null)
                    modelOut.close();
            }
        }
    }

上面高亮显示的代码显示- 'Cast参数‘文件’到‘浓缩流工厂’

我被迫这样做，因为否则会显示错误。

现在，当我运行我的代码时，我会得到以下错误

java.io.FileInputStream cannot be cast to opennlp.tools.util.InputStreamFactory

这里有遗漏什么吗？

编辑1: Person.train文件具有以下数据

<START:person> Hardik <END> is a software Professional.<START:person> Hardik works at company<END> and <START:person> is part of development team<END>. <START:person> Hardik<END> lives in New York
<START:person> Hardik<END> loves R statistical software
<START:person> Hardik<END> is a student at ISB
<START:person> Hardik<END> loves nature

Edit2:我现在得到了空指针异常，有帮助吗？

Answer 1

您需要一个InputStreamFactory实例，它将检索您的InputStream。此外，TokenNameFinderFactory不能是null。

public class PersonClassifierTrainer {

    static String modelFile = "/opt/NLP/data/en-ner-customperson.bin";

    public static void main(String[] args) throws IOException {

        InputStreamFactory isf = new InputStreamFactory() {
            public InputStream createInputStream() throws IOException {
                return new FileInputStream("/opt/NLP/data/person.train");
            }
        };

        Charset charset = Charset.forName("UTF-8");
        ObjectStream<String> lineStream = new PlainTextByLineStream(isf, charset);
        ObjectStream<NameSample> sampleStream = new NameSampleDataStream(lineStream);

        TokenNameFinderModel model;
        TokenNameFinderFactory nameFinderFactory = new TokenNameFinderFactory();

        try {
            model = NameFinderME.train("en", "person", sampleStream, TrainingParameters.defaultParams(),
                    nameFinderFactory);
        } finally {
            sampleStream.close();
        }

        BufferedOutputStream modelOut = null;

        try {
            modelOut = new BufferedOutputStream(new FileOutputStream(modelFile));
            model.serialize(modelOut);
        } finally {
            if (modelOut != null)
                modelOut.close();
        }
    }
}

编辑1: Person.train文件具有以下数据

<START:person> Hardik <END> is a software Professional.<START:person> Hardik works at company<END> and <START:person> is part of development team<END>. <START:person> Hardik<END> lives in New York
<START:person> Hardik<END> loves R statistical software
<START:person> Hardik<END> is a student at ISB
<START:person> Hardik<END> loves nature