/**
* Return information about the objects in this Tree.
*
* @param t The tree to examine.
* @return A human-readable String
*/
public static String toDebugStructureString(Tree t) {
StringBuilder sb = new StringBuilder();
String tCl = StringUtils.getShortClassName(t);
String tfCl = StringUtils.getShortClassName(t.treeFactory());
String lCl = StringUtils.getShortClassName(t.label());
String lfCl = StringUtils.getShortClassName(t.label().labelFactory());
Set<String> otherClasses = new HashSet<String>();
for (Tree st : t) {
String stCl = StringUtils.getShortClassName(st);
String stfCl = StringUtils.getShortClassName(st.treeFactory());
String slCl = StringUtils.getShortClassName(st.label());
String slfCl = StringUtils.getShortClassName(st.label().labelFactory());
if (!tCl.equals(stCl)) {
otherClasses.add(stCl);
}
if (!tfCl.equals(stfCl)) {
otherClasses.add(stfCl);
}
if (!lCl.equals(slCl)) {
otherClasses.add(slCl);
}
if (!lfCl.equals(slfCl)) {
otherClasses.add(slfCl);
}
}
sb.append("Tree with root of class ").append(tCl).append(" and factory ").append(tfCl);
sb.append(" with label class ").append(lCl).append(" and factory ").append(lfCl);
if (!otherClasses.isEmpty()) {
sb.append(" with the following classes also found within the tree: ").append(otherClasses);
}
return sb.toString();
}
Tree prune(Tree tree, int start) {
if (tree.isLeaf() || tree.isPreTerminal()) {
return tree;
}
// check each node's children for deletion
List<Tree> children = helper(tree.getChildrenAsList(), start);
children = prune(children, tree.label(), start, start + tree.yield().size());
return tree.treeFactory().newTreeNode(tree.label(), children);
}
/**
* Called by determineHead and may be overridden in subclasses if special treatment is necessary
* for particular categories.
*/
protected Tree determineNonTrivialHead(Tree t, Tree parent) {
Tree theHead = null;
String motherCat = tlp.basicCategory(t.label().value());
if (DEBUG) {
System.err.println(
"Looking for head of "
+ t.label()
+ "; value is |"
+ t.label().value()
+ "|, "
+ " baseCat is |"
+ motherCat
+ '|');
}
// We know we have nonterminals underneath
// (a bit of a Penn Treebank assumption, but).
// Look at label.
// a total special case....
// first look for POS tag at end
// this appears to be redundant in the Collins case since the rule already would do that
// Tree lastDtr = t.lastChild();
// if (tlp.basicCategory(lastDtr.label().value()).equals("POS")) {
// theHead = lastDtr;
// } else {
String[][] how = nonTerminalInfo.get(motherCat);
if (how == null) {
if (DEBUG) {
System.err.println(
"Warning: No rule found for "
+ motherCat
+ " (first char: "
+ motherCat.charAt(0)
+ ')');
System.err.println("Known nonterms are: " + nonTerminalInfo.keySet());
}
if (defaultRule != null) {
if (DEBUG) {
System.err.println(" Using defaultRule");
}
return traverseLocate(t.children(), defaultRule, true);
} else {
return null;
}
}
for (int i = 0; i < how.length; i++) {
boolean deflt = (i == how.length - 1);
theHead = traverseLocate(t.children(), how[i], deflt);
if (theHead != null) {
break;
}
}
if (DEBUG) {
System.err.println(" Chose " + theHead.label());
}
return theHead;
}
public static Tree normalizeTree(Tree tree, TreeNormalizer tn, TreeFactory tf) {
for (Tree node : tree) {
if (node.isLeaf()) {
node.label().setValue(tn.normalizeTerminal(node.label().value()));
} else {
node.label().setValue(tn.normalizeNonterminal(node.label().value()));
}
}
return tn.normalizeWholeTree(tree, tf);
}
/**
* returns a list of categories that is the path from Tree from to Tree to within Tree root. If
* either from or to is not in root, returns null. Otherwise includes both from and to in the
* list.
*/
public static List<String> pathNodeToNode(Tree from, Tree to, Tree root) {
List<Tree> fromPath = pathFromRoot(from, root);
// System.out.println(treeListToCatList(fromPath));
if (fromPath == null) return null;
List<Tree> toPath = pathFromRoot(to, root);
// System.out.println(treeListToCatList(toPath));
if (toPath == null) return null;
// System.out.println(treeListToCatList(fromPath));
// System.out.println(treeListToCatList(toPath));
int last = 0;
int min = fromPath.size() <= toPath.size() ? fromPath.size() : toPath.size();
Tree lastNode = null;
// while((! (fromPath.isEmpty() || toPath.isEmpty())) &&
// fromPath.get(0).equals(toPath.get(0))) {
// lastNode = (Tree) fromPath.remove(0);
// toPath.remove(0);
// }
while (last < min && fromPath.get(last).equals(toPath.get(last))) {
lastNode = fromPath.get(last);
last++;
}
// System.out.println(treeListToCatList(fromPath));
// System.out.println(treeListToCatList(toPath));
List<String> totalPath = new ArrayList<String>();
for (int i = fromPath.size() - 1; i >= last; i--) {
Tree t = fromPath.get(i);
totalPath.add("up-" + t.label().value());
}
if (lastNode != null) totalPath.add("up-" + lastNode.label().value());
for (Tree t : toPath) totalPath.add("down-" + t.label().value());
// for(ListIterator i = fromPath.listIterator(fromPath.size()); i.hasPrevious(); ){
// Tree t = (Tree) i.previous();
// totalPath.add("up-" + t.label().value());
// }
// if(lastNode != null)
// totalPath.add("up-" + lastNode.label().value());
// for(ListIterator j = toPath.listIterator(); j.hasNext(); ){
// Tree t = (Tree) j.next();
// totalPath.add("down-" + t.label().value());
// }
return totalPath;
}
List<Tree> prune(List<Tree> treeList, Label label, int start, int end) {
// get reference tree
if (treeList.size() == 1) {
return treeList;
}
Tree testTree = treeList.get(0).treeFactory().newTreeNode(label, treeList);
int goal = Numberer.getGlobalNumberer("states").number(label.value());
Tree tempTree = parser.extractBestParse(goal, start, end);
// parser.restoreUnaries(tempTree);
Tree pcfgTree = debinarizer.transformTree(tempTree);
Set<Constituent> pcfgConstituents =
pcfgTree.constituents(new LabeledScoredConstituentFactory());
// delete child labels that are not in reference but do not cross reference
List<Tree> prunedChildren = new ArrayList<Tree>();
int childStart = 0;
for (int c = 0, numCh = testTree.numChildren(); c < numCh; c++) {
Tree child = testTree.getChild(c);
boolean isExtra = true;
int childEnd = childStart + child.yield().size();
Constituent childConstituent =
new LabeledScoredConstituent(childStart, childEnd, child.label(), 0);
if (pcfgConstituents.contains(childConstituent)) {
isExtra = false;
}
if (childConstituent.crosses(pcfgConstituents)) {
isExtra = false;
}
if (child.isLeaf() || child.isPreTerminal()) {
isExtra = false;
}
if (pcfgTree.yield().size() != testTree.yield().size()) {
isExtra = false;
}
if (!label.value().startsWith("NP^NP")) {
isExtra = false;
}
if (isExtra) {
System.err.println(
"Pruning: "
+ child.label()
+ " from "
+ (childStart + start)
+ " to "
+ (childEnd + start));
System.err.println("Was: " + testTree + " vs " + pcfgTree);
prunedChildren.addAll(child.getChildrenAsList());
} else {
prunedChildren.add(child);
}
childStart = childEnd;
}
return prunedChildren;
}
public Tree transformTree(Tree tree) {
Tree treeCopy = tree.deepCopy();
for (Tree subtree : treeCopy) {
if (subtree.depth() < 2) {
continue;
}
String categoryLabel = subtree.label().toString();
Label label = subtree.label();
label.setFromString(categoryLabel + "-t3");
}
return treeCopy;
}
protected Rule ltToRule(Tree lt) {
if (lt.children().length == 1) {
UnaryRule ur = new UnaryRule();
ur.parent = stateNumberer.number(lt.label().value());
ur.child = stateNumberer.number(lt.children()[0].label().value());
return ur;
} else {
BinaryRule br = new BinaryRule();
br.parent = stateNumberer.number(lt.label().value());
br.leftChild = stateNumberer.number(lt.children()[0].label().value());
br.rightChild = stateNumberer.number(lt.children()[1].label().value());
return br;
}
}
public Tree transformTree(Tree tree) {
Label lab = tree.label();
if (tree.isLeaf()) {
Tree leaf = tf.newLeaf(lab);
leaf.setScore(tree.score());
return leaf;
}
String s = lab.value();
s = treebankLanguagePack().basicCategory(s);
s = treebankLanguagePack().stripGF(s);
int numKids = tree.numChildren();
List<Tree> children = new ArrayList<Tree>(numKids);
for (int cNum = 0; cNum < numKids; cNum++) {
Tree child = tree.getChild(cNum);
Tree newChild = transformTree(child);
children.add(newChild);
}
CategoryWordTag newLabel = new CategoryWordTag(lab);
newLabel.setCategory(s);
if (lab instanceof HasTag) {
String tag = ((HasTag) lab).tag();
tag = treebankLanguagePack().basicCategory(tag);
tag = treebankLanguagePack().stripGF(tag);
newLabel.setTag(tag);
}
Tree node = tf.newTreeNode(newLabel, children);
node.setScore(tree.score());
return node;
}
public Tree transformTree(Tree tree) {
Label lab = tree.label();
if (tree.isLeaf()) {
Tree leaf = tf.newLeaf(lab);
leaf.setScore(tree.score());
return leaf;
}
String s = lab.value();
s = treebankLanguagePack().basicCategory(s);
int numKids = tree.numChildren();
List<Tree> children = new ArrayList<Tree>(numKids);
for (int cNum = 0; cNum < numKids; cNum++) {
Tree child = tree.getChild(cNum);
Tree newChild = transformTree(child);
// cdm 2007: for just subcategory stripping, null shouldn't happen
// if (newChild != null) {
children.add(newChild);
// }
}
// if (children.isEmpty()) {
// return null;
// }
CategoryWordTag newLabel = new CategoryWordTag(lab);
newLabel.setCategory(s);
if (lab instanceof HasTag) {
String tag = ((HasTag) lab).tag();
tag = treebankLanguagePack().basicCategory(tag);
newLabel.setTag(tag);
}
Tree node = tf.newTreeNode(newLabel, children);
node.setScore(tree.score());
return node;
}
/**
* returns the syntactic category of the tree as a list of the syntactic categories of the mother
* and the daughters
*/
public static List<String> localTreeAsCatList(Tree t) {
List<String> l = new ArrayList<String>(t.children().length + 1);
l.add(t.label().value());
for (int i = 0; i < t.children().length; i++) {
l.add(t.children()[i].label().value());
}
return l;
}
public static Tree copyHelper(Tree t, Map<Tree, Tree> newToOld, Map<Tree, Tree> oldToNew) {
Tree[] kids = t.children();
Tree[] newKids = new Tree[kids.length];
for (int i = 0, n = kids.length; i < n; i++) {
newKids[i] = copyHelper(kids[i], newToOld, oldToNew);
}
TreeFactory tf = t.treeFactory();
if (kids.length == 0) {
Tree newLeaf = tf.newLeaf(t.label());
newToOld.put(newLeaf, t);
oldToNew.put(newLeaf, t);
return newLeaf;
}
Tree newNode = tf.newTreeNode(t.label(), Arrays.asList(newKids));
newToOld.put(newNode, t);
oldToNew.put(t, newNode);
return newNode;
}
private static void leafLabels(Tree t, List<Label> l) {
if (t.isLeaf()) {
l.add(t.label());
} else {
Tree[] kids = t.children();
for (int j = 0, n = kids.length; j < n; j++) {
leafLabels(kids[j], l);
}
}
}
/**
* This is the method to call for assigning labels and node vectors to the Tree. After calling
* this, each of the non-leaf nodes will have the node vector and the predictions of their classes
* assigned to that subtree's node.
*/
public void forwardPropagateTree(Tree tree) {
FloatMatrix nodeVector;
FloatMatrix classification;
if (tree.isLeaf()) {
// We do nothing for the leaves. The preterminals will
// calculate the classification for this word/tag. In fact, the
// recursion should not have gotten here (unless there are
// degenerate trees of just one leaf)
throw new AssertionError("We should not have reached leaves in forwardPropagate");
} else if (tree.isPreTerminal()) {
classification = getUnaryClassification(tree.label());
String word = tree.children().get(0).value();
FloatMatrix wordVector = getFeatureVector(word);
if (wordVector == null) {
wordVector = featureVectors.get(UNKNOWN_FEATURE);
}
nodeVector = activationFunction.apply(wordVector);
} else if (tree.children().size() == 1) {
throw new AssertionError(
"Non-preterminal nodes of size 1 should have already been collapsed");
} else if (tree.children().size() == 2) {
Tree left = tree.firstChild(), right = tree.lastChild();
forwardPropagateTree(left);
forwardPropagateTree(right);
String leftCategory = tree.children().get(0).label();
String rightCategory = tree.children().get(1).label();
FloatMatrix W = getBinaryTransform(leftCategory, rightCategory);
classification = getBinaryClassification(leftCategory, rightCategory);
FloatMatrix leftVector = tree.children().get(0).vector();
FloatMatrix rightVector = tree.children().get(1).vector();
FloatMatrix childrenVector = appendBias(leftVector, rightVector);
if (useFloatTensors) {
FloatTensor floatT = getBinaryFloatTensor(leftCategory, rightCategory);
FloatMatrix floatTensorIn = FloatMatrix.concatHorizontally(leftVector, rightVector);
FloatMatrix floatTensorOut = floatT.bilinearProducts(floatTensorIn);
nodeVector = activationFunction.apply(W.mmul(childrenVector).add(floatTensorOut));
} else nodeVector = activationFunction.apply(W.mmul(childrenVector));
} else {
throw new AssertionError("Tree not correctly binarized");
}
FloatMatrix inputWithBias = appendBias(nodeVector);
FloatMatrix preAct = classification.mmul(inputWithBias);
FloatMatrix predictions = outputActivation.apply(preAct);
tree.setPrediction(predictions);
tree.setVector(nodeVector);
}
/**
* Load a collection of parse trees from a Reader. Each tree may optionally be encased in parens
* to allow for Penn Treebank style trees.
*
* @param r The reader to read trees from. (If you want it buffered, you should already have
* buffered it!)
* @param id An ID for where these files come from (arbitrary, but something like a filename. Can
* be <code>null</code> for none.
*/
public void load(Reader r, String id) {
try {
// could throw an IO exception?
TreeReader tr = treeReaderFactory().newTreeReader(r);
int sentIndex = 0;
for (Tree pt; (pt = tr.readTree()) != null; ) {
if (pt.label() instanceof HasIndex) { // so we can trace where this tree came from
HasIndex hi = (HasIndex) pt.label();
if (id != null) {
hi.setDocID(id);
}
hi.setSentIndex(sentIndex);
}
parseTrees.add(pt);
sentIndex++;
}
} catch (IOException e) {
System.err.println("load IO Exception: " + e);
}
}
private static void transformCC(Tree t, List<Tree> left, Tree conj, List<Tree> right) {
TreeFactory tf = t.treeFactory();
LabelFactory lf = t.label().labelFactory();
Tree leftQP = tf.newTreeNode(lf.newLabel("NP"), left);
Tree rightQP = tf.newTreeNode(lf.newLabel("NP"), right);
List<Tree> newChildren = new ArrayList<Tree>();
newChildren.add(leftQP);
newChildren.add(conj);
newChildren.add(rightQP);
t.setChildren(newChildren);
}
private static void taggedLeafLabels(Tree t, List<CoreLabel> l) {
if (t.isPreTerminal()) {
CoreLabel fl = (CoreLabel) t.getChild(0).label();
fl.set(TagLabelAnnotation.class, t.label());
l.add(fl);
} else {
Tree[] kids = t.children();
for (int j = 0, n = kids.length; j < n; j++) {
taggedLeafLabels(kids[j], l);
}
}
}
protected void tallyTree(Tree t, LinkedList<String> parents) {
// traverse tree, building parent list
String str = t.label().value();
boolean strIsPassive = (str.indexOf('@') == -1);
if (strIsPassive) {
parents.addFirst(str);
}
if (!t.isLeaf()) {
if (!t.children()[0].isLeaf()) {
tallyInternalNode(t, parents);
for (int c = 0; c < t.children().length; c++) {
Tree child = t.children()[c];
tallyTree(child, parents);
}
} else {
tagNumberer.number(t.label().value());
}
}
if (strIsPassive) {
parents.removeFirst();
}
}
/**
* Determine which daughter of the current parse tree is the head.
*
* @param t The parse tree to examine the daughters of. If this is a leaf, <code>null</code> is
* returned
* @param parent The parent of t
* @return The daughter parse tree that is the head of <code>t</code>. Returns null for leaf
* nodes.
* @see Tree#percolateHeads(HeadFinder) for a routine to call this and spread heads throughout a
* tree
*/
public Tree determineHead(Tree t, Tree parent) {
if (nonTerminalInfo == null) {
throw new RuntimeException(
"Classes derived from AbstractCollinsHeadFinder must"
+ " create and fill HashMap nonTerminalInfo.");
}
if (DEBUG) {
System.err.println("determineHead for " + t.value());
}
if (t.isLeaf()) {
return null;
}
Tree[] kids = t.children();
Tree theHead;
// first check if subclass found explicitly marked head
if ((theHead = findMarkedHead(t)) != null) {
if (DEBUG) {
System.err.println(
"Find marked head method returned " + theHead.label() + " as head of " + t.label());
}
return theHead;
}
// if the node is a unary, then that kid must be the head
// it used to special case preterminal and ROOT/TOP case
// but that seemed bad (especially hardcoding string "ROOT")
if (kids.length == 1) {
if (DEBUG) {
System.err.println(
"Only one child determines " + kids[0].label() + " as head of " + t.label());
}
return kids[0];
}
return determineNonTrivialHead(t, parent);
}
protected void tallyInternalNode(Tree lt, List parents) {
// form base rule
String label = lt.label().value();
Rule baseR = ltToRule(lt);
ruleToLabel.put(baseR, label);
// act on each history depth
for (int depth = 0, maxDepth = Math.min(HISTORY_DEPTH(), parents.size());
depth <= maxDepth;
depth++) {
List history = new ArrayList(parents.subList(0, depth));
// tally each history level / rewrite pair
rulePairs.incrementCount(new Pair(baseR, history), 1);
labelPairs.incrementCount(new Pair(label, history), 1);
}
}
/* Checks whether the tree t is an existential constituent
* There are two cases:
* -- affirmative sentences in which "there" is a left sister of the VP
* -- questions in which "there" is a daughter of the SQ.
*
*/
private boolean isExistential(Tree t, Tree parent) {
if (DEBUG) {
System.err.println("isExistential: " + t + ' ' + parent);
}
boolean toReturn = false;
String motherCat = tlp.basicCategory(t.label().value());
// affirmative case
if (motherCat.equals("VP") && parent != null) {
// take t and the sisters
Tree[] kids = parent.children();
// iterate over the sisters before t and checks if existential
for (Tree kid : kids) {
if (!kid.value().equals("VP")) {
List<Label> tags = kid.preTerminalYield();
for (Label tag : tags) {
if (tag.value().equals("EX")) {
toReturn = true;
}
}
} else {
break;
}
}
}
// question case
else if (motherCat.startsWith("SQ") && parent != null) {
// take the daughters
Tree[] kids = parent.children();
// iterate over the daughters and checks if existential
for (Tree kid : kids) {
if (!kid.value().startsWith("VB")) { // not necessary to look into the verb
List<Label> tags = kid.preTerminalYield();
for (Label tag : tags) {
if (tag.value().equals("EX")) {
toReturn = true;
}
}
}
}
}
if (DEBUG) {
System.err.println("decision " + toReturn);
}
return toReturn;
}
/**
* Takes a Tree and a collinizer and returns a Collection of {@link Constituent}s for PARSEVAL
* evaluation. Some notes on this particular parseval:
*
* <ul>
* <li>It is character-based, which allows it to be used on segmentation/parsing combination
* evaluation.
* <li>whether it gives you labeled or unlabeled bracketings depends on the value of the <code>
* labelConstituents</code> parameter
* </ul>
*
* (Note that I haven't checked this rigorously yet with the PARSEVAL definition -- Roger.)
*/
public static Collection<Constituent> parsevalObjectify(
Tree t, TreeTransformer collinizer, boolean labelConstituents) {
Collection<Constituent> spans = new ArrayList<Constituent>();
Tree t1 = collinizer.transformTree(t);
if (t1 == null) {
return spans;
}
for (Tree node : t1) {
if (node.isLeaf() || node.isPreTerminal() || (node != t1 && node.parent(t1) == null)) {
continue;
}
int leftEdge = t1.leftCharEdge(node);
int rightEdge = t1.rightCharEdge(node);
if (labelConstituents) spans.add(new LabeledConstituent(leftEdge, rightEdge, node.label()));
else spans.add(new SimpleConstituent(leftEdge, rightEdge));
}
return spans;
}
/**
* This looks to see whether any of the children is a preterminal headed by a word which is within
* the set verbalSet (which in practice is either auxiliary or copula verbs). It only returns true
* if it's a preterminal head, since you don't want to pick things up in phrasal daughters. That
* is an error.
*
* @param kids The child trees
* @param verbalSet The set of words
* @return Returns true if one of the child trees is a preterminal verb headed by a word in
* verbalSet
*/
private boolean hasVerbalAuxiliary(Tree[] kids, HashSet<String> verbalSet) {
if (DEBUG) {
System.err.println("Checking for verbal auxiliary");
}
for (Tree kid : kids) {
if (DEBUG) {
System.err.println(" checking in " + kid);
}
if (kid.isPreTerminal()) {
Label kidLabel = kid.label();
String tag = null;
if (kidLabel instanceof HasTag) {
tag = ((HasTag) kidLabel).tag();
}
if (tag == null) {
tag = kid.value();
}
Label wordLabel = kid.firstChild().label();
String word = null;
if (wordLabel instanceof HasWord) {
word = ((HasWord) wordLabel).word();
}
if (word == null) {
word = wordLabel.value();
}
if (DEBUG) {
System.err.println("Checking " + kid.value() + " head is " + word + '/' + tag);
}
String lcWord = word.toLowerCase();
if (verbalTags.contains(tag) && verbalSet.contains(lcWord)) {
if (DEBUG) {
System.err.println("hasVerbalAuxiliary returns true");
}
return true;
}
}
}
if (DEBUG) {
System.err.println("hasVerbalAuxiliary returns false");
}
return false;
}
private static void transformQP(Tree t) {
List<Tree> children = t.getChildrenAsList();
TreeFactory tf = t.treeFactory();
LabelFactory lf = t.label().labelFactory();
// create the new XS having the first two children of the QP
Tree left = tf.newTreeNode(lf.newLabel("XS"), null);
for (int i = 0; i < 2; i++) {
left.addChild(children.get(i));
}
// remove all the two first children of t before
for (int i = 0; i < 2; i++) {
t.removeChild(0);
}
// add XS as the first child
t.addChild(0, left);
}
public Tree transformTree(Tree tree) {
TreeFactory tf = tree.treeFactory();
String tag = tree.label().value();
if (tree.isPreTerminal()) {
String word = tree.firstChild().label().value();
List<Tree> newPreterms = new ArrayList<>();
for (int i = 0, size = word.length(); i < size; i++) {
String singleCharLabel = new String(new char[] {word.charAt(i)});
Tree newLeaf = tf.newLeaf(singleCharLabel);
String suffix;
if (useTwoCharTags) {
if (word.length() == 1 || i == 0) {
suffix = "_S";
} else {
suffix = "_M";
}
} else {
if (word.length() == 1) {
suffix = "_S";
} else if (i == 0) {
suffix = "_B";
} else if (i == word.length() - 1) {
suffix = "_E";
} else {
suffix = "_M";
}
}
newPreterms.add(tf.newTreeNode(tag + suffix, Collections.<Tree>singletonList(newLeaf)));
}
return tf.newTreeNode(tag, newPreterms);
} else {
List<Tree> newChildren = new ArrayList<>();
for (int i = 0; i < tree.children().length; i++) {
Tree child = tree.children()[i];
newChildren.add(transformTree(child));
}
return tf.newTreeNode(tag, newChildren);
}
}
private static int treeToLatexHelper(
Tree t, StringBuilder c, StringBuilder h, int n, int nextN, int indent) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < indent; i++) sb.append(" ");
h.append('\n').append(sb);
h.append("{\\")
.append(t.isLeaf() ? "" : "n")
.append("tnode{z")
.append(n)
.append("}{")
.append(t.label())
.append('}');
if (!t.isLeaf()) {
for (int k = 0; k < t.children().length; k++) {
h.append(", ");
c.append("\\nodeconnect{z").append(n).append("}{z").append(nextN).append("}\n");
nextN = treeToLatexHelper(t.children()[k], c, h, nextN, nextN + 1, indent + 1);
}
}
h.append('}');
return nextN;
}
private static int treeToLatexEvenHelper(
Tree t,
StringBuilder c,
StringBuilder h,
int n,
int nextN,
int indent,
int curDepth,
int maxDepth) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < indent; i++) sb.append(" ");
h.append('\n').append(sb);
int tDepth = t.depth();
if (tDepth == 0 && tDepth + curDepth < maxDepth) {
for (int pad = 0; pad < maxDepth - tDepth - curDepth; pad++) {
h.append("{\\ntnode{pad}{}, ");
}
}
h.append("{\\ntnode{z").append(n).append("}{").append(t.label()).append('}');
if (!t.isLeaf()) {
for (int k = 0; k < t.children().length; k++) {
h.append(", ");
c.append("\\nodeconnect{z").append(n).append("}{z").append(nextN).append("}\n");
nextN =
treeToLatexEvenHelper(
t.children()[k], c, h, nextN, nextN + 1, indent + 1, curDepth + 1, maxDepth);
}
}
if (tDepth == 0 && tDepth + curDepth < maxDepth) {
for (int pad = 0; pad < maxDepth - tDepth - curDepth; pad++) {
h.append('}');
}
}
h.append('}');
return nextN;
}
private static boolean vpContainsParticiple(Tree t) {
for (Tree kid : t.children()) {
if (DEBUG) {
System.err.println("vpContainsParticiple examining " + kid);
}
if (kid.isPreTerminal()) {
Label kidLabel = kid.label();
String tag = null;
if (kidLabel instanceof HasTag) {
tag = ((HasTag) kidLabel).tag();
}
if (tag == null) {
tag = kid.value();
}
if ("VBN".equals(tag) || "VBG".equals(tag) || "VBD".equals(tag)) {
if (DEBUG) {
System.err.println("vpContainsParticiple found VBN/VBG/VBD VP");
}
return true;
}
}
}
return false;
}
/**
* Determine which daughter of the current parse tree is the head. It assumes that the daughters
* already have had their heads determined. Uses special rule for VPheads
*
* @param t The parse tree to examine the daughters of. This is assumed to never be a leaf
* @return The parse tree that is the head
*/
protected Tree determineNonTrivialHead(Tree t, Tree parent) {
String motherCat = tlp.basicCategory(t.label().value());
if (DEBUG) {
System.err.println("My parent is " + parent);
}
// do VPs with auxiliary as special case
if (motherCat.equals("VP") || motherCat.equals("SQ") || motherCat.equals("SINV")) {
Tree[] kids = t.children();
// try to find if there is an auxiliary verb
if (DEBUG) {
System.err.println("Semantic head finder: at VP");
System.err.println("Class is " + t.getClass().getName());
t.pennPrint(System.err);
System.err.println("hasVerbalAuxiliary = " + hasVerbalAuxiliary(kids, verbalAuxiliaries));
}
// looks for auxiliaries
if (hasVerbalAuxiliary(kids, verbalAuxiliaries)) {
// String[] how = new String[] {"left", "VP", "ADJP", "NP"};
// Including NP etc seems okay for copular sentences but is
// problematic for other auxiliaries, like 'he has an answer'
// But maybe doing ADJP is fine!
String[] how = new String[] {"left", "VP", "ADJP"};
Tree pti = traverseLocate(kids, how, false);
if (DEBUG) {
System.err.println("Determined head is: " + pti);
}
if (pti != null) {
return pti;
} else {
// System.err.println("------");
// System.err.println("SemanticHeadFinder failed to reassign head for");
// t.pennPrint(System.err);
// System.err.println("------");
}
}
// looks for copular verbs
if (hasVerbalAuxiliary(kids, copulars) && !isExistential(t, parent) && !isWHQ(t, parent)) {
String[] how;
if (motherCat.equals("SQ")) {
how = new String[] {"right", "VP", "ADJP", "NP", "WHADJP", "WHNP"};
} else {
how = new String[] {"left", "VP", "ADJP", "NP", "WHADJP", "WHNP"};
}
Tree pti = traverseLocate(kids, how, false);
if (DEBUG) {
System.err.println("Determined head is: " + pti);
}
if (pti != null) {
return pti;
} else {
if (DEBUG) {
System.err.println("------");
System.err.println("SemanticHeadFinder failed to reassign head for");
t.pennPrint(System.err);
System.err.println("------");
}
}
}
}
return super.determineNonTrivialHead(t, parent);
}
private void backpropDerivativesAndError(
Tree tree,
MultiDimensionalMap<String, String, FloatMatrix> binaryTD,
MultiDimensionalMap<String, String, FloatMatrix> binaryCD,
MultiDimensionalMap<String, String, FloatTensor> binaryFloatTensorTD,
Map<String, FloatMatrix> unaryCD,
Map<String, FloatMatrix> wordVectorD,
FloatMatrix deltaUp) {
if (tree.isLeaf()) {
return;
}
FloatMatrix currentVector = tree.vector();
String category = tree.label();
category = basicCategory(category);
// Build a vector that looks like 0,0,1,0,0 with an indicator for the correct class
FloatMatrix goldLabel = new FloatMatrix(numOuts, 1);
int goldClass = tree.goldLabel();
if (goldClass >= 0) {
goldLabel.put(goldClass, 1.0f);
}
Float nodeWeight = classWeights.get(goldClass);
if (nodeWeight == null) nodeWeight = 1.0f;
FloatMatrix predictions = tree.prediction();
// If this is an unlabeled class, set deltaClass to 0. We could
// make this more efficient by eliminating various of the below
// calculations, but this would be the easiest way to handle the
// unlabeled class
FloatMatrix deltaClass =
goldClass >= 0
? SimpleBlas.scal(nodeWeight, predictions.sub(goldLabel))
: new FloatMatrix(predictions.rows, predictions.columns);
FloatMatrix localCD = deltaClass.mmul(appendBias(currentVector).transpose());
float error = -(MatrixFunctions.log(predictions).muli(goldLabel).sum());
error = error * nodeWeight;
tree.setError(error);
if (tree.isPreTerminal()) { // below us is a word vector
unaryCD.put(category, unaryCD.get(category).add(localCD));
String word = tree.children().get(0).label();
word = getVocabWord(word);
FloatMatrix currentVectorDerivative = activationFunction.apply(currentVector);
FloatMatrix deltaFromClass = getUnaryClassification(category).transpose().mmul(deltaClass);
deltaFromClass =
deltaFromClass.get(interval(0, numHidden), interval(0, 1)).mul(currentVectorDerivative);
FloatMatrix deltaFull = deltaFromClass.add(deltaUp);
wordVectorD.put(word, wordVectorD.get(word).add(deltaFull));
} else {
// Otherwise, this must be a binary node
String leftCategory = basicCategory(tree.children().get(0).label());
String rightCategory = basicCategory(tree.children().get(1).label());
if (combineClassification) {
unaryCD.put("", unaryCD.get("").add(localCD));
} else {
binaryCD.put(
leftCategory, rightCategory, binaryCD.get(leftCategory, rightCategory).add(localCD));
}
FloatMatrix currentVectorDerivative = activationFunction.applyDerivative(currentVector);
FloatMatrix deltaFromClass =
getBinaryClassification(leftCategory, rightCategory).transpose().mmul(deltaClass);
FloatMatrix mult = deltaFromClass.get(interval(0, numHidden), interval(0, 1));
deltaFromClass = mult.muli(currentVectorDerivative);
FloatMatrix deltaFull = deltaFromClass.add(deltaUp);
FloatMatrix leftVector = tree.children().get(0).vector();
FloatMatrix rightVector = tree.children().get(1).vector();
FloatMatrix childrenVector = appendBias(leftVector, rightVector);
// deltaFull 50 x 1, childrenVector: 50 x 2
FloatMatrix add = binaryTD.get(leftCategory, rightCategory);
FloatMatrix W_df = deltaFromClass.mmul(childrenVector.transpose());
binaryTD.put(leftCategory, rightCategory, add.add(W_df));
FloatMatrix deltaDown;
if (useFloatTensors) {
FloatTensor Wt_df = getFloatTensorGradient(deltaFull, leftVector, rightVector);
binaryFloatTensorTD.put(
leftCategory,
rightCategory,
binaryFloatTensorTD.get(leftCategory, rightCategory).add(Wt_df));
deltaDown =
computeFloatTensorDeltaDown(
deltaFull,
leftVector,
rightVector,
getBinaryTransform(leftCategory, rightCategory),
getBinaryFloatTensor(leftCategory, rightCategory));
} else {
deltaDown = getBinaryTransform(leftCategory, rightCategory).transpose().mmul(deltaFull);
}
FloatMatrix leftDerivative = activationFunction.apply(leftVector);
FloatMatrix rightDerivative = activationFunction.apply(rightVector);
FloatMatrix leftDeltaDown = deltaDown.get(interval(0, deltaFull.rows), interval(0, 1));
FloatMatrix rightDeltaDown =
deltaDown.get(interval(deltaFull.rows, deltaFull.rows * 2), interval(0, 1));
backpropDerivativesAndError(
tree.children().get(0),
binaryTD,
binaryCD,
binaryFloatTensorTD,
unaryCD,
wordVectorD,
leftDerivative.mul(leftDeltaDown));
backpropDerivativesAndError(
tree.children().get(1),
binaryTD,
binaryCD,
binaryFloatTensorTD,
unaryCD,
wordVectorD,
rightDerivative.mul(rightDeltaDown));
}
}
