/// <summary>
/// Returns a list of features used to predict whether the specified mention is non-referential.
/// </summary>
/// <param name="mention">
/// The mention under considereation.
/// </param>
/// <returns>
/// a list of featues used to predict whether the specified mention is non-referential.
/// </returns>
protected internal virtual List <string> GetNonReferentialFeatures(Mention.MentionContext mention)
{
var features = new List <string>();
var mentionTokens = mention.TokenParses;
for (var tokenIndex = 0; tokenIndex <= mention.HeadTokenIndex; tokenIndex++)
{
var token = mentionTokens[tokenIndex];
var wordFeatureList = MaximumEntropyResolver.GetWordFeatures(token);
for (var wordFeatureIndex = 0; wordFeatureIndex < wordFeatureList.Count; wordFeatureIndex++)
{
features.Add("nr" + (wordFeatureList[wordFeatureIndex]));
}
}
features.AddRange(MaximumEntropyResolver.GetContextFeatures(mention));
return(features);
}
/// <summary>
/// Returns a list of features used to predict whether the specified mention is non-referential.
/// </summary>
/// <param name="mention">
/// The mention under considereation.
/// </param>
/// <returns>
/// a list of featues used to predict whether the specified mention is non-referential.
/// </returns>
protected internal virtual List <string> GetNonReferentialFeatures(Mention.MentionContext mention)
{
List <string> features = new List <string>();
Mention.IParse[] mentionTokens = mention.TokenParses;
//System.err.println("getNonReferentialFeatures: mention has "+mtokens.length+" tokens");
for (int tokenIndex = 0; tokenIndex <= mention.HeadTokenIndex; tokenIndex++)
{
Mention.IParse token = mentionTokens[tokenIndex];
List <string> wordFeatureList = MaximumEntropyResolver.GetWordFeatures(token);
for (int wordFeatureIndex = 0; wordFeatureIndex < wordFeatureList.Count; wordFeatureIndex++)
{
features.Add("nr" + (wordFeatureList[wordFeatureIndex]));
}
}
features.AddRange(MaximumEntropyResolver.GetContextFeatures(mention));
return(features);
}