static void Main(string[] args)
{
CommandLineOption opt = GetDefaultOption();
Parser parser = new Parser();
var stopwatch = new Stopwatch();
try
{
parser.ParseArguments(args, opt);
string[] info = File.ReadAllLines(opt.info);
int sourceAuthorNum = Convert.ToInt32(info[0]);
int targetAuthorNum = Convert.ToInt32(info[1]);
int sourcePaperNum = Convert.ToInt32(info[2]);
int targetPaperNum = Convert.ToInt32(info[3]);
int collaborationPaperNum = Convert.ToInt32(info[4]);
List <string> papers = File.ReadAllLines(opt.papers).ToList();
List <string> authors = File.ReadAllLines(opt.authors).ToList();
var sourcePapers = papers.Take(sourcePaperNum).ToArray();
var targetPapers = papers.Skip(sourcePaperNum).Take(targetPaperNum).ToArray();
var collaborationPapers = papers.Skip(sourcePaperNum + targetPaperNum).ToArray();
var sourceAuthors = authors.Take(sourcePaperNum).ToArray();
var targetAuthors = authors.Skip(sourcePaperNum).Take(targetPaperNum).ToArray();
var collaborationAuthors = authors.Skip(sourcePaperNum + targetPaperNum).ToArray();
int vocabSize = 12;
Corpora sourceCor = new Corpora(vocabSize, sourceAuthorNum);
sourceCor.LoadDataFile(sourcePapers, sourceAuthors);
ACTPhraseSampling sourceModel = new ACTPhraseSampling();
sourceModel.TrainNewModel(sourceCor, opt, "outSource.txt");
Corpora targetCor = new Corpora(vocabSize, targetAuthorNum);
targetCor.LoadDataFile(targetPapers, targetAuthors);
ACTPhraseSampling targetModel = new ACTPhraseSampling();
targetModel.TrainNewModel(targetCor, opt, "outTarget.txt");
Corpora collaborationCor = new Corpora(vocabSize, 0);
collaborationCor.LoadDataFile(collaborationPapers, collaborationAuthors);
CTLPhraseSampling collaborationModel = new CTLPhraseSampling(sourceModel, targetModel);
collaborationModel.TrainNewModel(collaborationCor, opt, "outColl.txt");
}
catch (Exception ex)
{
Console.WriteLine(ex.StackTrace);
Console.WriteLine(ex.Message);
}
Console.ReadLine();
}
public CTLPhraseSampling(ACTPhraseSampling sourceModel, ACTPhraseSampling targetModel)
{
M = 0;
Voc = 0;
K = sourceModel.K + targetModel.K;
//alpha = 0.1;
//beta = 0.1;
gamma = 3.0;
gammaT = 0.1;
rnd = new Random();
this.sourceModel = sourceModel;
this.targetModel = targetModel;
}