コード例 #1
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
  /**
   * 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();
  }
コード例 #2
0
ファイル: FactoredParser.java プロジェクト: renaud/maven_repo
 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);
 }
コード例 #3
0
  /**
   * 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;
  }
コード例 #4
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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);
 }
コード例 #5
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
  /**
   * 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;
  }
コード例 #6
0
ファイル: FactoredParser.java プロジェクト: renaud/maven_repo
 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;
 }
コード例 #7
0
 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;
 }
コード例 #8
0
ファイル: FactoredParser.java プロジェクト: renaud/maven_repo
 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;
   }
 }
コード例 #9
0
    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;
    }
コード例 #10
0
 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;
 }
コード例 #11
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 /**
  * 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;
 }
コード例 #12
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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;
 }
コード例 #13
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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);
     }
   }
 }
コード例 #14
0
ファイル: RNTN.java プロジェクト: jpquiroga/java-deeplearning
  /**
   * 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);
  }
コード例 #15
0
 /**
  * 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);
   }
 }
コード例 #16
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 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);
 }
コード例 #17
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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);
     }
   }
 }
コード例 #18
0
ファイル: FactoredParser.java プロジェクト: renaud/maven_repo
 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();
   }
 }
コード例 #19
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  /**
   * 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);
  }
コード例 #20
0
ファイル: FactoredParser.java プロジェクト: renaud/maven_repo
 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);
   }
 }
コード例 #21
0
  /* 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;
  }
コード例 #22
0
 /**
  * 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;
 }
コード例 #23
0
  /**
   * 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;
  }
コード例 #24
0
  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);
  }
コード例 #25
0
  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);
    }
  }
コード例 #26
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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;
 }
コード例 #27
0
ファイル: Trees.java プロジェクト: hercky/undergradCourses
 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;
 }
コード例 #28
0
 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;
 }
コード例 #29
0
  /**
   * 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);
  }
コード例 #30
0
ファイル: RNTN.java プロジェクト: jpquiroga/java-deeplearning
  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));
    }
  }