Improper result for the trained model for NER

[siddharthBohra]

Hi,
My own train file,

Abdera implementation of the Atom Syndication Format and Atom Publishing Protocol
Accumulo secure implementation of BigTable
ActiveMQ message broker supporting different communication protocols and clients, including a full Java Message Service (JMS) 1.1 client.
Allura Python-based an open source implementation of a software forge
Ant Java-based build tool
Apache Arrow "A high-performance cross-system data layer for columnar in-memory analytics".[1][2]
APR Apache Portable Runtime, a portability library written in C
Archiva Build Artifact Repository Manager
Apache Beam ,an uber-API for big data
Beehive Java visual object model
Bloodhound defect tracker based on Trac[3]
Calcite dynamic data management framework
Camel declarative routing and mediation rules engine which implements the Enterprise Integration Patterns using a Java-based domain specific language

Training and saving the model of NER [TrainGeneTag.java program],
import com.aliasi.chunk.CharLmHmmChunker;
import com.aliasi.corpus.parsers.GeneTagParser;
import com.aliasi.hmm.HmmCharLmEstimator;
import com.aliasi.tokenizer.IndoEuropeanTokenizerFactory;
import com.aliasi.tokenizer.TokenizerFactory;
import com.aliasi.util.AbstractExternalizable;
import java.io.File;
import java.io.IOException;

public class LingPipeNER {
static final int MAX_N_GRAM = 8;
static final int NUM_CHARS = 256;
static final double LM_INTERPOLATION = MAX_N_GRAM; // default behavior

public static void main(String[] args) throws IOException {
    File corpusFile = new File("D:\\resources\\lingPipe-technologies-trainFile.txt");
    File modelFile = new File("D:\\resources\\muc6.HmmChunker");

    System.out.println("Setting up Chunker Estimator");
    TokenizerFactory factory          = IndoEuropeanTokenizerFactory.INSTANCE;
    HmmCharLmEstimator hmmEstimator   = new HmmCharLmEstimator(MAX_N_GRAM,NUM_CHARS,LM_INTERPOLATION);
    CharLmHmmChunker chunkerEstimator = new CharLmHmmChunker(factory,hmmEstimator);

    System.out.println("Setting up Data Parser");
    GeneTagParser parser = new GeneTagParser();
    parser.setHandler(chunkerEstimator);

    System.out.println("Training with Data from File=" + corpusFile);
    parser.parse(corpusFile);

    System.out.println("Compiling and Writing Model to File=" + modelFile);
    AbstractExternalizable.compileTo(chunkerEstimator,modelFile);
}

}

Now loading the model and passing an input sentence to get the entity output [RunChunker.Java program],

import com.aliasi.chunk.Chunk;
import com.aliasi.chunk.Chunker;
import com.aliasi.chunk.Chunking;
import com.aliasi.util.AbstractExternalizable;
import com.sun.org.apache.xerces.internal.xs.StringList;
import edu.stanford.nlp.ling.tokensregex.PhraseTable;
import java.io.File;
import java.util.Iterator;
import java.util.Set;

public class RunChunker {

public static void main(String[] args) throws Exception {
    File modelFile = new File("D:\\resources\\muc6.HmmChunker");
System.out.println("Reading chunker from file");
Chunker chunker  = (Chunker) AbstractExternalizable.readObject(modelFile);
String sentence = "Camel declarative routing and Camel rules engine which implements the Enterprise Integration Patterns";
System.out.println(sentence);
String[] strList =  sentence.split(" ");
    for (int i = 0; i < strList.length; ++i) {
        Chunking chunking = chunker.chunk(strList[i]);

// System.out.println("Chunking=" + chunking);
Set chunkSet = chunking.chunkSet();
Iterator it = chunkSet.iterator();
while (it.hasNext()) {
Chunk chunk = it.next();
int start = chunk.start();
int end = chunk.end();
String text = sentence.substring(start,end);
System.out.println(" chunk=" + chunk + " text=" + text);
}
}
}

}

Using lingpipe 3.9.3 version,

com.aliasi
lingpipe
3.9.3

Expected output:
Technology: camel
Technology: camel

but the output is empty. No chunking found for the chunker.chunk(strList[i]). Please guide me.
If you have any better example program to train and find the Name entity, please share it.

Thanks in advance.