public static ArrayList GetAllSenses(string word, string pos)
{
int senseCount = 0;
Opt[] relatednessTypes = null;
ArrayList senses = new ArrayList();
MyWnLexicon.WSDWordInfo wordInfo = MyWnLexicon.Lexicon.FindWordInfo(word, true);
Wnlib.PartsOfSpeech POS = Wnlib.PartsOfSpeech.Unknown;
if (pos == "noun")
{
POS = PartsOfSpeech.Noun;
senseCount = wordInfo.senseCounts[1];
}
if (pos == "verb")
{
POS = PartsOfSpeech.Verb;
senseCount = wordInfo.senseCounts[2];
}
if (pos == "adj")
{
POS = PartsOfSpeech.Adj;
senseCount = wordInfo.senseCounts[3];
}
if (pos == "adv")
{
POS = PartsOfSpeech.Adv;
senseCount = wordInfo.senseCounts[4];
}
relatednessTypes = WordsMatching.Relatedness.GetRelatedness(POS);
//senseCount = wordInfo.senseCounts[1];
if (relatednessTypes == null)
{
return(null);
}
for (int i = 0; i < senseCount; i++)
{
string gloss = GetRelatednessGlosses(word, i + 1, relatednessTypes);
senses.Add(gloss);
}
return(senses);
}
private MyWordInfo[] Disambiguate(string[] words)
{
if (words.Length == 0)
{
return(null);
}
MyWordInfo[] wordInfos = new MyWordInfo [words.Length];
for (int i = 0; i < words.Length; i++)
{
MyWnLexicon.WSDWordInfo wordInfo = MyWnLexicon.Lexicon.FindWordInfo(words[i], true);
if (wordInfo.partOfSpeech != Wnlib.PartsOfSpeech.Unknown)
{
if (wordInfo.text != string.Empty)
{
words[i] = wordInfo.text;
}
Wnlib.PartsOfSpeech[] posEnum = (Wnlib.PartsOfSpeech[])Enum.GetValues(typeof(Wnlib.PartsOfSpeech));
for (int j = 0; j < posEnum.Length; j++)
{
if (wordInfo.senseCounts[j] > 0) // get the first part of speech
{
wordInfos[i] = new MyWordInfo(words[i], posEnum[j]);
break;
}
}
}
}
WordSenseDisambiguator wsd = new WordSenseDisambiguator();
wordInfos = wsd.Disambiguate(wordInfos);
return(wordInfos);
}
private void Init_Relations()
{
Opt[] relatedness = null;
for (int i = 0; i < _contextWords.Length; i++)
{
MyWnLexicon.WSDWordInfo wordInfo = MyWnLexicon.Lexicon.FindWordInfo(_contextWords[i].Word, true);
if (wordInfo.partOfSpeech != Wnlib.PartsOfSpeech.Unknown)
{
if (wordInfo.text != string.Empty)
{
_contextWords[i].Word = wordInfo.text;
}
Wnlib.PartsOfSpeech[] posEnum = (Wnlib.PartsOfSpeech[])Enum.GetValues(typeof(Wnlib.PartsOfSpeech));
bool stop = false;
int senseCount = 0;
for (int j = 1; j < posEnum.Length && !stop; j++)
{
Wnlib.PartsOfSpeech pos = posEnum[j];
if (wordInfo.senseCounts[j] > 0 && _contextWords[i].Pos == pos)
{
senseCount = wordInfo.senseCounts[j];
relatedness = Relatedness.GetRelatedness(pos);
stop = relatedness != null;
break;
}
}
if (stop)
{
string[][][] tmp = Relatedness.GetAllRelatednessData(_contextWords[i].Word, senseCount, relatedness);
_relCube[i] = tmp;
}
}
}
}
private ArrayList MMG_Scoring_Overlaps()//Greedy
{
ArrayList ArrScore = new ArrayList();
int wordCount = _contextWords.Length;
int[][][][] scoreCube;
Init_ScoreCube(out scoreCube, wordCount);
for (int i = 0; i < wordCount; i++)
if (_relCube[i] != null)
{
int iSenseCount = _relCube[i].Length;
int bestScoreOf_i = 0;
for (int iSense = 0; iSense < iSenseCount; iSense++)
{
int senseTotalScore = 0;
for (int j = 0; j < wordCount; j++)
if (i != j && InContext(i, j, CONTEXT_SIZE) && _relCube[j] != null)
{
int jSenseCount = _relCube[j].Length;
int bestScoreOf_j = 0;
for (int jSense = 0; jSense < jSenseCount; jSense++)
{
int score = 0;
if (scoreCube[i][iSense][j][jSense] != 0)
score = scoreCube[i][iSense][j][jSense];
else
if (scoreCube[j][jSense][i][iSense] != 0)
score = scoreCube[j][jSense][i][iSense];
if (score == 0)
{
score = ScoringSensePair(_relCube[i][iSense], _relCube[j][jSense]);
if (score > 0)
{
scoreCube[i][iSense][j][jSense] = score;
scoreCube[j][jSense][i][iSense] = score;
}
}
if (bestScoreOf_j < score)
bestScoreOf_j = score;
}
if (bestScoreOf_j > THRESHOLD)
senseTotalScore += bestScoreOf_j;
}
if (senseTotalScore > bestScoreOf_i)
{
bestScoreOf_i = senseTotalScore;
_bestSenses[i] = iSense;
}
}
_overallScore += bestScoreOf_i;
ArrScore.Add(bestScoreOf_i);
}
for (int i = 0; i < wordCount; i++)
{
if (_bestSenses[i] == -1)
{
MyWnLexicon.WSDWordInfo wordInfo = MyWnLexicon.Lexicon.FindWordInfo(_contextWords[i].Word, true);
if (wordInfo.partOfSpeech != Wnlib.PartsOfSpeech.Unknown && _contextWords[i].Pos != Wnlib.PartsOfSpeech.Unknown)
{
_bestSenses[i] = 0;
}
}
}
return ArrScore;
}
