epic.parser.LatentTreeMarginal.scala Maven / Gradle / Ivy
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package epic.parser
/*
Copyright 2012 David Hall
Licensed under the Apache License, Version 2.0 (the "License")
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
import projections.{GrammarRefinements, ProjectionIndexer}
import java.util.Arrays
import epic.trees._
import breeze.numerics._
import LatentTreeMarginal._
import scala._
import java.util
import breeze.linalg.Counter2
/**
*
* @author dlwh
*/
case class LatentTreeMarginal[L, W](anchoring: GrammarAnchoring[L, W],
tree: BinarizedTree[IndexedSeq[(L, Int)]]) extends ParseMarginal[L, W] {
private val stree = insideScores()
outsideScores(stree)
def isMaxMarginal: Boolean = false
private val z = stree.label.inside.sum
val logPartition = Scaling.toLogSpace(z, stree.label.iscale)
def visitPostorder(spanVisitor: AnchoredVisitor[L], threshold: Double = Double.NegativeInfinity) = {
// normalizer
val rootScale = stree.label.iscale
if (logPartition.isInfinite || logPartition.isNaN)
sys.error(s"NaN or infinite $logPartition ${stree.label.inside.mkString(", ")}")
stree.postorder foreach {
case t@NullaryTree(Beliefs(labels, iScores, iScale, oScores, oScale), span) =>
for( i <- 0 until labels.length) {
val (l, ref) = labels(i)
val iS = iScores(i)
val oS = oScores(i)
val ruleScore = Scaling.unscaleValue(iS / z * oS, iScale + oScale - rootScale)
assert(!ruleScore.isNaN)
// assert(exp(ruleScore) > 0, " " + ruleScore)
spanVisitor.visitSpan(t.span.begin, t.span.end, l, ref, ruleScore)
}
case t@UnaryTree(Beliefs(aLabels, _, _, aScores, aScale), Tree(Beliefs(cLabels, cScores,cScale, _, _), _, _), chain, span) =>
var pi = 0
while(pi < aLabels.size) {
val (a, aRef) = aLabels(pi)
val opScore = aScores(pi)
pi += 1
var ci = 0
while(ci < cLabels.size) {
val (c, cRef) = cLabels(ci)
val icScore = cScores(ci)
ci += 1
val rule = topology.index(UnaryRule(topology.labelIndex.get(a), topology.labelIndex.get(c), chain))
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, cRef)
if(ruleRef != -1 ) {
val rs = math.exp(anchoring.scoreUnaryRule(t.span.begin, t.span.end, rule, ruleRef)) // exp!
val ruleScore = Scaling.unscaleValue(opScore / z * rs * icScore, aScale + cScale - rootScale)
assert(!ruleScore.isNaN)
// assert(exp(ruleScore) > 0, " " + ruleScore)
spanVisitor.visitUnaryRule(t.span.begin, t.span.end, rule, ruleRef, ruleScore)
}
}
}
case t@BinaryTree(Beliefs(aLabels, _, _, aScores, aScale), Tree(Beliefs(bLabels, bScores, bScale, _, _), _, _), Tree(Beliefs(cLabels, cScores, cScale, _, _), _, _), span) =>
val begin = span.begin
val split = t.rightChild.span.begin
val end = t.span.end
for {
((a, aRef), opScore) <- aLabels zip aScores
((b, bRef), ilScore) <- bLabels zip bScores
((c, cRef), irScore) <- cLabels zip cScores
} {
val rule = topology.index(BinaryRule(topology.labelIndex.get(a),
topology.labelIndex.get(b),
topology.labelIndex.get(c)))
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, bRef, cRef)
val rs = math.exp(anchoring.scoreBinaryRule(begin, split, end, rule, ruleRef) + anchoring.scoreSpan(begin, end, a, aRef)) // exp!
val count = Scaling.unscaleValue(opScore / z * rs * ilScore * irScore, aScale + bScale + cScale - rootScale)
spanVisitor.visitSpan(begin, end, a, aRef, count)
spanVisitor.visitBinaryRule(begin, split, end, rule, ruleRef, count)
}
}
}
// private stuff to do the computation
private def insideScores() = {
val indexedTree:BinarizedTree[Beliefs[L]] = tree.map{ labels => Beliefs(labels.map { case (l, ref) => topology.labelIndex(l) -> ref})}
indexedTree.postorder.foreach {
case t@NullaryTree(Beliefs(labels, scores, _, _, _), span) =>
// fill in POS tags:
assert(t.span.length == 1)
var foundOne = false
for {
i <- 0 until scores.length
(label, ref) = labels(i)
wScore = anchoring.scoreSpan(t.span.begin, t.span.end, label, ref)
if !wScore.isInfinite
} {
scores(i) = math.exp(wScore) // exp!
assert(!wScore.isInfinite)
assert(!wScore.isNaN)
foundOne = true
}
if(!foundOne) {
sys.error(s"Trouble with lexical $words(t.span.begin)")
}
t.label.scaleInside(0)
case t@UnaryTree(Beliefs(aLabels, aScores, _, _, _), Tree(Beliefs(cLabels, cScores, cScale, _, _), _, _), chain, span) =>
var foundOne = false
var ai = 0
while(ai < aLabels.length) {
val (a, aRef) = aLabels(ai)
var sum = 0.0
var ci = 0
while(ci < cLabels.length) {
val (c, cRef) = cLabels(ci)
val rule = topology.index(UnaryRule(topology.labelIndex.get(a), topology.labelIndex.get(c), chain))
if(rule != -1) {
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, cRef)
if (ruleRef != -1) {
val score = anchoring.scoreUnaryRule(t.span.begin, t.span.end, rule, ruleRef)
val ruleScore = cScores(ci) * math.exp(score) // exp!
sum += ruleScore
assert(!ruleScore.isNaN)
if(score != Double.NegativeInfinity && math.exp(score) == 0.0) {
println("Underflow!!!")
}
if(ruleScore != 0.0) {
foundOne = true
}
}
}
ci += 1
}
aScores(ai) = sum
ai += 1
}
if(!foundOne) {
sys.error("unary problems")
// sys.error(s"Trouble with unary $t.render(words)} ${grammar.labelIndex.get(a)} ${grammar.labelIndex.get(c)} $rule ${anchoring.scoreUnaryRule(t.span.begin, t.span.end, rule, 0)}")
}
t.label.scaleInside(cScale)
case t@BinaryTree(Beliefs(aLabels, aScores, _, _, _),
Tree(Beliefs(bLabels, bScores, bScale, _, _), _, _),
Tree(Beliefs(cLabels, cScores, cScale, _, _), _, _), span) =>
var foundOne = false
val begin = span.begin
val split = t.leftChild.span.end
val end = span.end
var ai = 0
while(ai < aScores.length) {
var sum = 0.0
val (a, aRef) = aLabels(ai)
var bi = 0
while(bi < bLabels.length) {
val (b, bRef) = bLabels(bi)
var ci = 0
while(ci < cLabels.length) {
val (c, cRef) = cLabels(ci)
val rule = topology.index(BinaryRule(topology.labelIndex.get(a),
topology.labelIndex.get(b),
topology.labelIndex.get(c)))
if(rule != -1) {
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, bRef, cRef)
if(ruleRef != -1) {
val spanScore = anchoring.scoreSpan(begin, end, a, aRef)
sum += ( bScores(bi)
* cScores(ci)
* math.exp(anchoring.scoreBinaryRule(begin, split, end, rule, ruleRef) + spanScore)
) // exp!
}
}
ci += 1
}
bi += 1
}
aScores(ai) = sum
if(aScores(ai) != 0) foundOne = true
ai += 1
}
if(!foundOne) {
// val r = (BinaryRule(grammar.labelIndex.get(a),
// grammar.labelIndex.get(b),
// grammar.labelIndex.get(c)))
// sys.error(s"Trouble with binary ${t.render(words)}\n\n$r $rule $ai")
}
t.label.scaleInside(cScale + bScale)
case _ => sys.error("bad tree!")
}
indexedTree
}
private def outsideScores(tree: BinarizedTree[Beliefs[L]]) {
// Root gets score exp(0) == 1
util.Arrays.fill(tree.label.outside, 1.0)
// Set the outside score of each child
tree.preorder.foreach {
case t @ BinaryTree(parent, lchild, rchild, span) =>
for {
((a, aRef), aScore) <- t.label.labels zip t.label.outside
bi <- 0 until lchild.label.labels.length
(b, bRef) = lchild.label.labels(bi)
bScore = lchild.label.inside(bi)
ci <- 0 until rchild.label.labels.length
(c, cRef) = rchild.label.labels(ci)
cScore = rchild.label.inside(ci)
} {
val rule = topology.index(BinaryRule(topology.labelIndex.get(a),
topology.labelIndex.get(b),
topology.labelIndex.get(c)))
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, bRef, cRef)
val spanScore = math.exp(
anchoring.scoreBinaryRule(span.begin, lchild.span.end, span.end, rule, ruleRef)
+ anchoring.scoreSpan(t.span.begin, t.span.end, a, aRef)
) // exp!
lchild.label.outside(bi) += aScore * cScore * spanScore
rchild.label.outside(ci) += aScore * bScore * spanScore
}
lchild.label.scaleOutside(t.label.oscale + rchild.label.iscale)
rchild.label.scaleOutside(t.label.oscale + lchild.label.iscale)
case tree: NullaryTree[IndexedSeq[Int]] => () // do nothing
case t @ UnaryTree(_, child, chain, span) =>
for ( ((c, cRef), ci) <- child.label.labels.zipWithIndex ) {
var sum = 0.0
for {
((a, aRef), aScore) <- t.label.labels zip t.label.outside
} {
val rule = topology.index(UnaryRule(topology.labelIndex.get(a), topology.labelIndex.get(c), chain))
val ruleRef = anchoring.ruleRefinementFromRefinements(rule, aRef, cRef)
if(ruleRef != -1) {
val ruleScore = anchoring.scoreUnaryRule(span.begin, span.end, rule, ruleRef)
sum += aScore * math.exp(ruleScore) // exp!
}
}
child.label.outside(ci) = sum
}
child.label.scaleOutside(t.label.oscale)
}
}
override def feasibleSplitPoints(begin: Int, end: Int, leftChild: Int, leftChildRef: Int, rightChild: Int, rightChildRef: Int): IndexedSeq[Int] = {
tree.findSpan(begin, end) match {
case Some(UnaryTree(a, b@BinaryTree(_, _, _, _), chain, _)) => IndexedSeq(b.splitPoint)
case Some(b@BinaryTree(_, _, _, _)) => IndexedSeq(b.splitPoint)
case _ => IndexedSeq.empty
}
}
override def insideTopScore(begin: Int, end: Int, sym: Int, ref: Int): Double = {
stree.findSpan(begin, end) match {
case Some(UnaryTree(a, b, chain, span)) => a.labels.indexOf(sym -> ref) match {
case -1 =>
Double.NegativeInfinity
case pos =>
Scaling.toLogSpace(a.inside(pos), a.iscale)
}
case _ => Double.NegativeInfinity
}
}
override def insideBotScore(begin: Int, end: Int, sym: Int, ref: Int): Double = {
stree.findSpan(begin, end) match {
case Some(UnaryTree(_, BinaryTree(a, _, _, span2), chain, span)) => a.labels.indexOf(sym -> ref) match {
case -1 =>
Double.NegativeInfinity
case pos =>
Scaling.toLogSpace(a.inside(pos), a.iscale)
}
case _ => Double.NegativeInfinity
}
}
// override def marginalAt(begin: Int, end: Int): Counter2[L, Int, Double] = {
// stree.findSpan(begin, end) match {
// case None => Counter2[L, Int, Double]()
// case Some(Tree(a, _, _)) => Counter2( (0 until a.labels.length).map {i => (grammar.labelIndex.get(a.labels(i)._1), a.labels(i)._2, a.inside) })
// }
// }
}
object LatentTreeMarginal {
def apply[L, L2, W](anchoring: GrammarAnchoring[L, W],
projections: ProjectionIndexer[L, L2],
tree: BinarizedTree[L]): LatentTreeMarginal[L, W] = {
new LatentTreeMarginal(anchoring,
tree.map { l => projections.localRefinements(anchoring.topology.labelIndex(l)).toIndexedSeq.map(l -> _)})
}
def apply[L, W](grammar: Grammar[L, W],
words: IndexedSeq[W],
tree: BinarizedTree[IndexedSeq[(L, Int)]]):LatentTreeMarginal[L, W] = {
LatentTreeMarginal(grammar.anchor(words), tree)
}
def apply[L, L2, W](grammar: Grammar[L, W],
ref: ProjectionIndexer[L, L2],
words: IndexedSeq[W],
tree: BinarizedTree[L]):LatentTreeMarginal[L, W] = {
apply(grammar.anchor(words), ref, tree)
}
private case class Beliefs[L](labels: IndexedSeq[(Int, Int)],
inside: Array[Double],
var iscale: Int,
outside: Array[Double],
var oscale: Int) {
override def toString = {
s"Beliefs($labels, ${inside.mkString("{", ", ", " }")}, ${outside.mkString("{", ", ", "}")})"
}
def scaleInside(currentScale: Int) {
iscale = Scaling.scaleArray(inside, currentScale)
}
def scaleOutside(currentScale: Int) {
oscale = Scaling.scaleArray(outside, currentScale)
}
}
private object Beliefs {
private[LatentTreeMarginal] def apply[L](labels: IndexedSeq[(Int, Int)]):Beliefs[L] = {
val r = new Beliefs[L](labels, new Array[Double](labels.length), 0, new Array[Double](labels.length), 0)
// Arrays.fill(r.inside, Double.NegativeInfinity)
// Arrays.fill(r.outside, Double.NegativeInfinity)
r
}
}
}
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