/// <summary>
/// Extracts a Stanford-Word to a models.Word and adds to sentence
/// </summary>
/// <param name="stanfordWord"></param>
/// <returns></returns>
private bool ExtractWord(
CoreMap stanfordWord, ref InternalSentence sentence)
{
uint offsetBegin, offsetEnd;
if (!UInt32.TryParse(
stanfordWord.get(_charOffsetBeginAnnotationClass).ToString(),
out offsetBegin))
{
return(false);
}
if (!UInt32.TryParse(
stanfordWord.get(_charOffsetEndAnnotationClass).ToString(),
out offsetEnd))
{
return(false);
}
sentence.words.Add(new InternalWord()
{
annotatedText = stanfordWord.get(_textAnnotationClass).ToString(),
//originalText = stanfordWord.get(_originalTextAnnotationClass).ToString(),
originalText = _rawData.Substring((int)offsetBegin, (int)offsetEnd - (int)offsetBegin),
characterOffsetBegin = offsetBegin,
characterOffsetEnd = offsetEnd
});
return(true);
}
/// <summary>
/// Gets stem text
/// </summary>
/// <param name="text">Text to stem</param>
/// <returns>Text that is stemmed</returns>
public string GetStemmedText(string text)
{
try
{
// Annotation
var annotation = new Annotation(text);
_pipeLine.annotate(annotation);
// Sentence
ArrayList sentences = annotation.get(_sentencesAnnotation.getClass()) as ArrayList;
CoreMap sentence = sentences.get(0) as CoreMap;
// Token
ArrayList tokens = sentence.get(_tokensAnnotation.getClass()) as ArrayList;
CoreLabel token = tokens.get(0) as CoreLabel;
// Lemma
string lemma = token.get(_lemmaAnnotation.getClass()).ToString();
return(lemma);
}
catch (Exception)
{
return(null);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="GeoMap"/> class.
/// </summary>
public GeoMap()
{
InitializeComponent();
if (!LiveCharts.IsConfigured)
{
LiveCharts.Configure(LiveChartsSkiaSharp.DefaultPlatformBuilder);
}
_activeMap = Maps.GetWorldMap <SkiaSharpDrawingContext>();
_core = new GeoMap <SkiaSharpDrawingContext>(this);
_shapesObserver = new CollectionDeepObserver <IMapElement>(
(object?sender, NotifyCollectionChangedEventArgs e) => _core?.Update(),
(object?sender, PropertyChangedEventArgs e) => _core?.Update(),
true);
var c = Controls[0].Controls[0];
c.MouseDown += OnMouseDown;
c.MouseMove += OnMouseMove;
c.MouseUp += OnMouseUp;
c.MouseLeave += OnMouseLeave;
c.MouseWheel += OnMouseWheel;
Resize += GeoMap_Resize;
}
private static void ExtractKeyPhrases(CoreDocument coredoc, int id)
{
ArrayList sents = _analyzer.GetSents(coredoc);
if (sents != null)
{
List <string> NP = new List <string>();
for (int i = 0; i < sents.size(); i++)
{
CoreMap sentence = (CoreMap)sents.get(i);
List <Tree> smallTrees = NPExtractor.getKeyPhrases((Tree)sentence.get(typeof(TreeCoreAnnotations.TreeAnnotation))).ToList();
foreach (var tree in smallTrees)
{
List leaves = tree.getLeaves();
var objarray = leaves.toArray();
//foreach (var obj in objarray)
//{
// NP.Add(obj.ToString());
//}
string joinedNP = String.Join(" ", objarray);
NP.Add(joinedNP);
}
}
NounPhrases.Add(id, NP);
}
}
/// <summary>
/// Called when the control initializes.
/// </summary>
protected override void OnInitialized()
{
base.OnInitialized();
if (!LiveCharts.IsConfigured)
{
LiveCharts.Configure(LiveChartsSkiaSharp.DefaultPlatformBuilder);
}
_activeMap = Maps.GetWorldMap <SkiaSharpDrawingContext>();
}
/// <summary>
/// Initializes a new instance of <see cref="MapContext{TDrawingContext}"/> class.
/// </summary>
public MapContext(
GeoMap <TDrawingContext> core,
IGeoMapView <TDrawingContext> view,
CoreMap <TDrawingContext> map,
MapProjector projector)
{
CoreMap = core;
MapFile = map;
Projector = projector;
View = view;
}
public void CreateParseTree(CoreDocument coredoc)
{
if (coredoc != null)
{
ArrayList sents = (ArrayList)coredoc.annotation().get(typeof(CoreAnnotations.SentencesAnnotation));
for (int i = 0; i < sents.size(); i++)
{
CoreMap sentence = (CoreMap)sents.get(i);
this.constituencyParse = (Tree)sentence.get(typeof(TreeCoreAnnotations.TreeAnnotation));
Set treeConstituents = (Set)constituencyParse.constituents(new LabeledScoredConstituentFactory());
treeArray = treeConstituents.toArray();
}
}
}
/// <summary>Return a new <see cref="ParseResult"/> constructed from <paramref name="annotation"/></summary>
internal ParseResult(Annotation annotation)
{
java.util.AbstractList sentences = annotation.get(SentencesAnnotationClass) as java.util.AbstractList;
CoreMap sentence = sentences.get(0) as CoreMap;
LabeledScoredTreeNode constituencyParse = sentence.get(TreeAnnotationClass) as LabeledScoredTreeNode;
// Skip the ROOT
Tree childOfRoot = constituencyParse.firstChild();
Constituents = childOfRoot;
Constituents.indexLeaves();
// Build the collection of tokens
var parsedTokens = sentence.get(TokensAnnotationClass) as java.util.AbstractList;
var mentions = sentence.get(MentionsAnnotationClass);
for (int tokenIndex = 0; tokenIndex < parsedTokens.size(); tokenIndex++)
{
CoreLabel source = parsedTokens.get(tokenIndex) as CoreLabel;
var tokenMentions = source.get(MentionTokenAnnotationClass);
var tokenGender = source.get(GenderAnnotationClass);
Tokens.Add(new ParseToken
{
Index = source.index(),
Word = source.word(),
Lemma = source.lemma(),
PartOfSpeech = source.get(PartOfSpeechAnnotationClass) as string,
NamedEntityClass = source.get(NamedEntityTagAnnotationClass) as string,
});
}
// Create the list of dependencies between tokens
SemanticGraph dependencyGraph = sentence.get(DependencyAnnotationClass) as SemanticGraph;
//java.util.List dependencies = dependencyGraph.edgeListSorted();
java.util.Iterator dependencyGraphEdges = dependencyGraph.edgeIterable().iterator();
while (dependencyGraphEdges.hasNext())
{
SemanticGraphEdge edge = dependencyGraphEdges.next() as SemanticGraphEdge;
string relationName = edge.getRelation().getShortName();
string relationSpecifier = edge.getRelation().getSpecific();
IndexedWord governor = edge.getGovernor();
IndexedWord dependent = edge.getDependent();
Dependencies.Add((relationName, relationSpecifier, governor.index(), dependent.index()));
}
}
/// <summary>
///
/// </summary>
/// <param name="index"></param>
/// <returns></returns>
public bool GetSentence(uint index, ref InternalSentence sentence)
{
if ((index < 0) ||
(index > (this.SentencesCount - 1)))
{
throw new IndexOutOfRangeException();
}
// extract the basic sentence fields
CoreMap stanfordSentence = (CoreMap)_sentences.get((int)index);
if (!ExtractSentence(stanfordSentence, ref sentence))
{
return(false);
}
// extract words
java.util.ArrayList stanfordWords =
(java.util.ArrayList)stanfordSentence.get(_tokensAnnotationClass);
if (stanfordWords.size() <= 0)
{
return(true);
}
// a "minor" optimisation (capacity)
sentence.words = new System.Collections.Generic.List <InternalWord>(
stanfordWords.size());
foreach (CoreMap stanfordWord in stanfordWords)
{
if (!ExtractWord(stanfordWord, ref sentence))
{
// NOTE: currently, we fail the entire sentence even if a single
// word fails
return(false);
}
}
;
return(true);
}
/// <summary>
/// Extracts the sentence members of a Standford Sentence to a models
/// sentence
/// </summary>
/// <param name="stanfordSentence"></param>
/// <param name="sentence"></param>
/// <returns></returns>
private bool ExtractSentence(
CoreMap stanfordSentence, ref InternalSentence sentence)
{
sentence.text = stanfordSentence.get(_textAnnotationClass).ToString();
if (!UInt32.TryParse(
stanfordSentence.get(_charOffsetBeginAnnotationClass).ToString(),
out sentence.fileOffsetBegin))
{
return(false);
}
if (!UInt32.TryParse(
stanfordSentence.get(_charOffsetEndAnnotationClass).ToString(),
out sentence.fileOffsetEnd))
{
return(false);
}
return(true);
}
/// <summary>
/// Initializes a new instance of the <see cref="GeoMap"/> class from the given core map.
/// </summary>
/// <param name="coreMap"></param>
public GeoMap(CoreMap <SkiaSharpDrawingContext> coreMap)
{
Layers = coreMap.Layers;
}
public Tree GetParseTree(CoreMap sent)
{
return((Tree)sent.get(typeof(TreeCoreAnnotations.TreeAnnotation)));
}
/// <summary>
/// Pull the Sentiment annotation for this sentence.
/// </summary>
private int GetSentiment(CoreMap sentence)
{
var tree = (Tree)sentence.get(typeof(SentimentCoreAnnotations.SentimentAnnotatedTree)); //pull the annotated tree
var sentiment = RNNCoreAnnotations.getPredictedClass(tree); //a score between 0-4, higher being more positive.
return sentiment;
}
