public IsAResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "/imodel", mode, 20, nonReferentialResolver)
{
ShowExclusions = false;
//predicativePattern = Pattern.compile("^(,|am|are|is|was|were|--)$");
predicativePattern = new Regex("^(,|--)$");
}
public SpeechPronounResolver(string projectName, ResolverMode mode)
: base(projectName, "fmodel", mode, 30)
{
NumberSentencesBack = 0;
ShowExclusions = false;
PreferFirstReferent = true;
}
public IsAResolver(string projectName, ResolverMode mode)
: base(projectName, "/imodel", mode, 20)
{
ShowExclusions = false;
//predicativePattern = Pattern.compile("^(,|am|are|is|was|were|--)$");
predicativePattern = new Regex("^(,|--)$", RegexOptions.Compiled);
}
public static SingletonNonReferentialResolver GetInstance(string modelName, ResolverMode mode)
{
if (mResolver == null)
{
mResolver = new SingletonNonReferentialResolver(modelName, mode);
}
return(mResolver);
}
public static SingletonNonReferentialResolver GetInstance(string modelName, ResolverMode mode)
{
if (mResolver == null)
{
mResolver = new SingletonNonReferentialResolver(modelName, mode);
}
return mResolver;
}
public ProperNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver) : base(projectName, "pnmodel", mode, 500, nonReferentialResolver)
{
if (!_acroMapLoaded)
{
initAcronyms(projectName + "/acronyms");
_acroMapLoaded = true;
}
ShowExclusions = false;
}
public ProperNounResolver(string projectName, ResolverMode mode) : base(projectName, "pnmodel", mode, 500)
{
if (!acroMapLoaded)
{
initAcronyms(projectName + "/acronyms");
acroMapLoaded = true;
}
ShowExclusions = false;
}
public ProperNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver):base(projectName, "pnmodel", mode, 500, nonReferentialResolver)
{
if (!_acroMapLoaded)
{
initAcronyms(projectName + "/acronyms");
_acroMapLoaded = true;
}
ShowExclusions = false;
}
public ProperNounResolver(string projectName, ResolverMode mode)
: base(projectName, "pnmodel", mode, 500)
{
if (!acroMapLoaded)
{
initAcronyms(projectName + "/acronyms");
acroMapLoaded = true;
}
ShowExclusions = false;
}
public DefaultNonReferentialResolver(string projectName, string name, ResolverMode mode)
{
mResolverMode = mode;
mModelName = projectName + "\\" + name + "_nr";
if (mode == ResolverMode.Train)
{
mEvents = new List <SharpEntropy.TrainingEvent>();
}
else if (mode == ResolverMode.Test)
{
mModel = new SharpEntropy.GisModel(new SharpEntropy.IO.BinaryGisModelReader(mModelName + mModelExtension));
mNonReferentialIndex = mModel.GetOutcomeIndex(MaximumEntropyResolver.Same);
}
else
{
throw new ArgumentException("unexpected mode " + mode);
}
}
public DefaultNonReferentialResolver(string projectName, string name, ResolverMode mode)
{
mResolverMode = mode;
mModelName = projectName + Path.DirectorySeparatorChar + name + "_nr";
if (mode == ResolverMode.Train)
{
mEvents = new List<SharpEntropy.TrainingEvent>();
}
else if (mode == ResolverMode.Test)
{
mModel = new SharpEntropy.GisModel(new SharpEntropy.IO.BinaryGisModelReader(mModelName + mModelExtension));
mNonReferentialIndex = mModel.GetOutcomeIndex(MaximumEntropyResolver.Same);
}
else
{
throw new ArgumentException("unexpected mode " + mode);
}
}
/// <summary>
/// Creates a maximum-entropy-based resolver with the specified model name, using the
/// specified mode, which will look the specified number of entities back for a referent and
/// prefer the first referent if specified.
/// </summary>
/// <param name="modelDirectory">
/// The name of the directory where the resover models are stored.
/// </param>
/// <param name="name">
/// The name of the file where this model will be read or written.
/// </param>
/// <param name="mode">
/// The mode this resolver is being using in (training, testing).
/// </param>
/// <param name="numberOfEntitiesBack">
/// The number of entities back in the text that this resolver will look
/// for a referent.
/// </param>
/// <param name="preferFirstReferent">
/// Set to true if the resolver should prefer the first referent which is more
/// likly than non-reference. This only affects testing.
/// </param>
/// <param name="nonReferentialResolver">
/// Determines how likly it is that this entity is non-referential.
/// </param>
protected MaximumEntropyResolver(string modelDirectory, string name, ResolverMode mode, int numberOfEntitiesBack, bool preferFirstReferent, INonReferentialResolver nonReferentialResolver) : base(numberOfEntitiesBack)
{
mPreferFirstReferent = preferFirstReferent;
mNonReferentialResolver = nonReferentialResolver;
mResolverMode = mode;
mModelName = modelDirectory + "/" + name;
if (mResolverMode == ResolverMode.Test)
{
mModel = new SharpEntropy.GisModel(new SharpEntropy.IO.BinaryGisModelReader(mModelName + mModelExtension));
mSameIndex = mModel.GetOutcomeIndex(Same);
}
else if (mResolverMode == ResolverMode.Train)
{
mEvents = new List <SharpEntropy.TrainingEvent>();
}
else
{
System.Console.Error.WriteLine("Unknown mode: " + mResolverMode);
}
//add one for non-referent possibility
mCandidateProbabilities = new double[GetNumberEntitiesBack() + 1];
}
public PluralNounResolver(string projectName, ResolverMode mode)
: base(projectName, "plmodel", mode, 80, true)
{
ShowExclusions = false;
}
public PluralNounResolver(string projectName, ResolverMode mode) : base(projectName, "plmodel", mode, 80, true)
{
ShowExclusions = false;
}
public PluralNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver) : base(projectName, "plmodel", mode, 80, true, nonReferentialResolver)
{
ShowExclusions = false;
}
public SpeechPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "fmodel", mode, 30, nonReferentialResolver)
{
ShowExclusions = false;
PreferFirstReferent = true;
}
public CommonNounResolver(string projectName, ResolverMode resolverMode, INonReferentialResolver nonReferentialResolver) : base(projectName, "cmodel", resolverMode, 80, true, nonReferentialResolver)
{
ShowExclusions = false;
PreferFirstReferent = true;
}
public SingularPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver) : base(projectName, "pmodel", mode, 30, nonReferentialResolver)
{
NumberSentencesBack = 2;
}
public IsAResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver) : base(projectName, "/imodel", mode, 20, nonReferentialResolver)
{
ShowExclusions = false;
//predicativePattern = Pattern.compile("^(,|am|are|is|was|were|--)$");
predicativePattern = new Regex("^(,|--)$");
}
/// <summary>
/// Creates a maximum-entropy-based resolver with the specified model name, using the
/// specified mode, which will look the specified number of entities back for a referent.
/// </summary>
/// <param name="modelDirectory">
/// The name of the directory where the resolver models are stored.
/// </param>
/// <param name="modelName">
/// The name of the file where this model will be read or written.
/// </param>
/// <param name="mode">
/// The mode this resolver is being using in (training, testing).
/// </param>
/// <param name="numberEntitiesBack">
/// The number of entities back in the text that this resolver will look
/// for a referent.
/// </param>
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack) : this(modelDirectory, modelName, mode, numberEntitiesBack, false)
{
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, bool preferFirstReferent) : this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new DefaultNonReferentialResolver(modelDirectory, modelName, mode))
{
}
public PluralPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "tmodel", mode, 30, nonReferentialResolver)
{
}
private SingletonNonReferentialResolver(string projectName, ResolverMode mode) : base(projectName, "nonref", mode)
{
}
public PluralPronounResolver(string projectName, ResolverMode mode)
: base(projectName, "tmodel", mode, 30)
{
}
public DefiniteNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "defmodel", mode, 80, nonReferentialResolver)
{
//preferFirstReferent = true;
}
public IsAResolver(string projectName, ResolverMode mode) : base(projectName, "/imodel", mode, 20)
{
ShowExclusions = false;
//predicativePattern = Pattern.compile("^(,|am|are|is|was|were|--)$");
predicativePattern = new Regex("^(,|--)$", RegexOptions.Compiled);
}
public PluralNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "plmodel", mode, 80, true, nonReferentialResolver)
{
ShowExclusions = false;
}
private SingletonNonReferentialResolver(string projectName, ResolverMode mode)
: base(projectName, "nonref", mode)
{
}
public SingularPronounResolver(string projectName, ResolverMode mode) : base(projectName, "pmodel", mode, 30)
{
NumberSentencesBack = 2;
}
public PluralPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver) : base(projectName, "tmodel", mode, 30, nonReferentialResolver)
{
}
public SpeechPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "fmodel", mode, 30, nonReferentialResolver)
{
ShowExclusions = false;
PreferFirstReferent = true;
}
public DefiniteNounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "defmodel", mode, 80, nonReferentialResolver)
{
//preferFirstReferent = true;
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, INonReferentialResolver nonReferentialResolver) : this(modelDirectory, modelName, mode, numberEntitiesBack, false, nonReferentialResolver)
{
}
/// <summary>
/// Creates a maximum-entropy-based resolver with the specified model name, using the
/// specified mode, which will look the specified number of entities back for a referent and
/// prefer the first referent if specified.
/// </summary>
/// <param name="modelDirectory">
/// The name of the directory where the resover models are stored.
/// </param>
/// <param name="name">
/// The name of the file where this model will be read or written.
/// </param>
/// <param name="mode">
/// The mode this resolver is being using in (training, testing).
/// </param>
/// <param name="numberOfEntitiesBack">
/// The number of entities back in the text that this resolver will look
/// for a referent.
/// </param>
/// <param name="preferFirstReferent">
/// Set to true if the resolver should prefer the first referent which is more
/// likly than non-reference. This only affects testing.
/// </param>
/// <param name="nonReferentialResolver">
/// Determines how likly it is that this entity is non-referential.
/// </param>
protected MaximumEntropyResolver(string modelDirectory, string name, ResolverMode mode, int numberOfEntitiesBack, bool preferFirstReferent, INonReferentialResolver nonReferentialResolver)
: base(numberOfEntitiesBack)
{
mPreferFirstReferent = preferFirstReferent;
mNonReferentialResolver = nonReferentialResolver;
mResolverMode = mode;
mModelName = modelDirectory + "/" + name;
if (mResolverMode == ResolverMode.Test)
{
mModel = new SharpEntropy.GisModel(new SharpEntropy.IO.BinaryGisModelReader(mModelName + mModelExtension));
mSameIndex = mModel.GetOutcomeIndex(Same);
}
else if (mResolverMode == ResolverMode.Train)
{
mEvents = new List<SharpEntropy.TrainingEvent>();
}
else
{
System.Console.Error.WriteLine("Unknown mode: " + mResolverMode);
}
//add one for non-referent possibility
mCandidateProbabilities = new double[GetNumberEntitiesBack() + 1];
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, bool preferFirstReferent, double nonReferentialProbability) : this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new FixedNonReferentialResolver(nonReferentialProbability))
{
}
public SingularPronounResolver(string projectName, ResolverMode mode)
: base(projectName, "pmodel", mode, 30)
{
NumberSentencesBack = 2;
}
public PluralPronounResolver(string projectName, ResolverMode mode) : base(projectName, "tmodel", mode, 30)
{
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, bool preferFirstReferent)
: this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new DefaultNonReferentialResolver(modelDirectory, modelName, mode))
{
}
public SpeechPronounResolver(string projectName, ResolverMode mode) : base(projectName, "fmodel", mode, 30)
{
NumberSentencesBack = 0;
ShowExclusions = false;
PreferFirstReferent = true;
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, bool preferFirstReferent, double nonReferentialProbability)
: this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new FixedNonReferentialResolver(nonReferentialProbability))
{
}
/// <summary>
/// Creates a maximum-entropy-based resolver with the specified model name, using the
/// specified mode, which will look the specified number of entities back for a referent.
/// </summary>
/// <param name="modelDirectory">
/// The name of the directory where the resolver models are stored.
/// </param>
/// <param name="modelName">
/// The name of the file where this model will be read or written.
/// </param>
/// <param name="mode">
/// The mode this resolver is being using in (training, testing).
/// </param>
/// <param name="numberEntitiesBack">
/// The number of entities back in the text that this resolver will look
/// for a referent.
/// </param>
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack)
: this(modelDirectory, modelName, mode, numberEntitiesBack, false)
{
}
public CommonNounResolver(string projectName, ResolverMode resolverMode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "cmodel", resolverMode, 80, true, nonReferentialResolver)
{
ShowExclusions = false;
PreferFirstReferent = true;
}
public SingularPronounResolver(string projectName, ResolverMode mode, INonReferentialResolver nonReferentialResolver)
: base(projectName, "pmodel", mode, 30, nonReferentialResolver)
{
NumberSentencesBack = 2;
}
protected MaximumEntropyResolver(string modelDirectory, string modelName, ResolverMode mode, int numberEntitiesBack, INonReferentialResolver nonReferentialResolver)
: this(modelDirectory, modelName, mode, numberEntitiesBack, false, nonReferentialResolver)
{
}
