public void TestEncode()
{
var encoder = new CRFEncoder();
bool result = encoder.Learn(new EncoderOptions
{
/*
* traing corups format, split by tab, sentences is seperated by blank row
*
* ! PUN S
* Tokyo NNP S_LOCATION
* and CC S
* New NNP B_LOCATION
* York NNP E_LOCATION
* are VBP S
* major JJ S
* financial JJ S
* centers NNS S
* . PUN S
*/
TrainingCorpusFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\CRF\eng.1k.training",
TemplateFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\CRF\template.en",
ModelFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\CRF\ner_model"
});
Assert.IsTrue(result);
}
public void TestEncode()
{
var encoder = new CRFEncoder();
bool result = encoder.Learn(new EncoderOptions
{
TrainingCorpusFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\English\corpus\eng.1K.training",
TemplateFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\English\template.NE",
ModelFileName = @"C:\Users\haipi\Documents\Projects\BotSharp\Data\English\model\ner_model_eng"
});
}
public async Task <bool> Train(AgentBase agent, NlpDoc doc, PipeModel meta)
{
var corpus = agent.Corpus;
meta.Model = "ner-crf.model";
List <TrainingIntentExpression <TrainingIntentExpressionPart> > userSays = corpus.UserSays;
List <List <TrainingData> > list = new List <List <TrainingData> >();
string rawTrainingDataFileName = System.IO.Path.Combine(Settings.ModelDir, "ner-crf.corpus.txt");
string modelFileName = System.IO.Path.Combine(Settings.ModelDir, meta.Model);
using (FileStream fs = new FileStream(rawTrainingDataFileName, FileMode.Create))
{
using (StreamWriter sw = new StreamWriter(fs))
{
for (int i = 0; i < doc.Sentences.Count; i++)
{
List <TrainingData> curLine = Merge(doc, doc.Sentences[i].Tokens, userSays[i].Entities);
curLine.ForEach(trainingData =>
{
string[] wordParams = { trainingData.Token, trainingData.Pos, trainingData.Entity };
string wordStr = string.Join("\t", wordParams);
sw.WriteLine(wordStr);
});
list.Add(curLine);
sw.WriteLine();
}
sw.Flush();
}
}
string contentDir = AppDomain.CurrentDomain.GetData("DataPath").ToString();
string template = Configuration.GetValue <String>($"template");
template = template.Replace("|App_Data|", contentDir + System.IO.Path.DirectorySeparatorChar);
var encoder = new CRFEncoder();
bool result = encoder.Learn(new EncoderOptions
{
TrainingCorpusFileName = rawTrainingDataFileName,
TemplateFileName = template,
ModelFileName = modelFileName,
});
return(result);
}