public Sentence processSentence(String sentence) {
if (!_is_inited) init();
starttime = System.currentTimeMillis();
Sentence sntc = null;
try {
if (verbosity > 0) starttime = System.currentTimeMillis();
sntc = parseSentence(sentence);
if (verbosity > 0) reportTime("Link-parsing: ");
for (ParsedSentence parse : sntc.getParses()) {
if (do_expand_preps) {
parse.getLeft().set("expand-preps", new FeatureNode("T"));
}
// The actual relation extraction is done here.
if (do_apply_algs) sentenceAlgorithmApplier.applyAlgs(parse, context);
if (do_stanford) sentenceAlgorithmApplier.extractStanford(parse, context);
if (do_penn_tagging) sentenceAlgorithmApplier.pennTag(parse, context);
// Also do a Penn tree-bank style phrase structure markup.
if (do_tree_markup) {
phraseMarkup.markup(parse);
// Repair the entity-mangled tree-bank string.
PhraseTree pt = new PhraseTree(parse.getLeft());
parse.setPhraseString(pt.toString());
}
}
// Assign a simple parse-ranking score, based on LinkGrammar data.
sntc.simpleParseRank();
// Perform anaphora resolution
if (do_anaphora_resolution) {
hobbs.addParse(sntc);
hobbs.resolve(sntc);
}
} catch (Exception e) {
System.err.println("Error: Failed to process sentence: " + sentence);
e.printStackTrace();
}
if (verbosity > 0) reportTime("RelEx processing: ");
return sntc;
}
public Boolean PMCallback(String pattern, PhraseTree pt) {
if (0 < debug)
System.out.println(
"=== >"
+ pattern
+ "< == >"
+ PhraseTree.toString(pt.getCursor())
+ "< phr="
+ pt.toString());
// "a" means "accept"
if (pattern.equals("a")) {
chunkWords(pt.getCursor(), curr_chunk);
}
// "a2" means "accept, if two words or more"
// Terminate search if its less than two words.
else if (pattern.equals("a2")) {
if (1 >= pt.getBreadth()) return true;
chunkWords(pt.getCursor(), curr_chunk);
}
// "p" means "accept only if its a pronoun".
else if (pattern.equals("p")) {
// Must have only one word in the phrase ...
if (1 != pt.getBreadth()) return false;
// ... and that word must be a pronoun.
FeatureNode word = pt.getFirstWord();
if (false == WordFeature.isPronoun(word)) return false;
chunkWords(pt.getCursor(), curr_chunk);
}
// Reject if its a copula (is, was, ...) and keep otherwise.
else if (pattern.equals("notcop")) {
FeatureNode word = pt.getFirstWord();
if (WordFeature.isCopula(word)) {
saw_copula = true;
return false;
}
chunkWords(pt.getCursor(), curr_chunk);
}
// Accept only if copula seen previously
else if (pattern.equals("postcop")) {
if (!saw_copula) return false;
chunkWords(pt.getCursor(), curr_chunk);
}
return false;
}
public void findChunks(ParsedSentence parse) {
PhraseTree pt = parse.getPhraseTree();
SubPhrase sb = new SubPhrase();
pt.foreach(sb);
}
public void FoundCallback(String pattern, PhraseTree pt) {
if (0 < debug) System.out.println("========== match! " + pattern + " == " + pt.toString());
curr_chunk = new LexChunk();
saw_copula = false;
}