/**
* Gets the prepositions for this word in this sentence
*
* @param startingWord
* @param graph Sentence
* @param preposition A seeding expression. Ex: "in" or "in_front_of"
* @return
*/
public static List<IndexedWord> getPrepRelations(
IndexedWord startingWord, SemanticGraph graph, String preposition) {
// GrammaticalRelation prepreln =
// GrammaticalRelation.getRelation(PrepositionalModifierGRAnnotation.class);
GrammaticalRelation prepreln = EnglishGrammaticalRelations.getPrep(preposition);
// checking rule: root->prep_in->det
return graph.getChildrenWithReln(startingWord, prepreln);
}
/**
* This method attempts to resolve noun phrases which consist of more than one word. More
* precisely, it looks for nn dependencies below {@code head} and creates an entity.
*
* @param head The head of the noun phrase
* @param graph The sentence to look in.
* @param words The words which make up the noun phrase
* @return A distinct word
*/
public static String resolveNN(
IndexedWord head, SemanticGraph graph, ArrayList<IndexedWord> words) {
List<IndexedWord> nns =
graph.getChildrenWithReln(head, EnglishGrammaticalRelations.NOUN_COMPOUND_MODIFIER);
String name = "";
// check for nulls. if there is nothing here, we have nothing to do.
if (nns != null) {
for (IndexedWord part : nns) {
name += part.word();
name += " ";
words.add(part); // save this word as a part of the results
}
// append the head word ("starting" word)
name += head.word();
words.add(head); // save this word as a part of the results
return name;
} else {
return null;
}
}
/**
* This method attempts to resolve noun phrases and conjunction. More precisely, it looks for nn
* and con_and dependencies below {@code head} and creates a list of entities.
*
* @param head The head of the noun phrase
* @param sentence The sentence to which <code>head</code> belongs
* @param namesIW The IndexedWords which form the head of each noun phrase
* @return A list of distinct words or names, grouped by "and"
*/
public static ArrayList<String> resolveCc(
IndexedWord head, CoreMap sentence, ArrayList<IndexedWord> namesIW) {
SemanticGraph graph = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class);
// list of names
ArrayList<String> names = new ArrayList<String>();
if (namesIW == null) namesIW = new ArrayList<IndexedWord>();
// adding this subject
names.add(resolveNN(head, graph));
// names.add(printTree(match(head, tree, "NP", true, 0)));
namesIW.add(head);
// check for more!
// more names can be reached with "and". Get us an "and":
GrammaticalRelation andrel = EnglishGrammaticalRelations.getConj("and");
// ask the graph for everything that is connected by "and":
List<IndexedWord> ands = graph.getChildrenWithReln(head, andrel);
for (IndexedWord w : ands) {
// add 'em
names.add(resolveNN(w, graph));
namesIW.add(w);
}
// hope those are all
return names;
}