public override string[] DefaultCoreNLPFlags()
{
if (op.TrainOptions().beamSize > 1)
{
return(ArrayUtils.Concatenate(GetTLPParams().DefaultCoreNLPFlags(), BeamFlags));
}
else
{
// TODO: this may result in some options which are useless for
// this model, such as -retainTmpSubcategories
return(GetTLPParams().DefaultCoreNLPFlags());
}
}
/// <summary>
/// Given a predicted transition and a state, this method rearranges
/// the list of transitions and returns whether or not training can
/// continue.
/// </summary>
internal virtual bool Reorder(State state, ITransition chosenTransition, IList <ITransition> transitions)
{
if (transitions.Count == 0)
{
throw new AssertionError();
}
ITransition goldTransition = transitions[0];
// If the transition is gold, we are already satisfied.
if (chosenTransition.Equals(goldTransition))
{
transitions.Remove(0);
return(true);
}
// If the transition should have been a Unary/CompoundUnary
// transition and it was something else or a different Unary
// transition, see if the transition sequence can be continued
// after skipping past the unary
if ((goldTransition is UnaryTransition) || (goldTransition is CompoundUnaryTransition))
{
transitions.Remove(0);
return(Reorder(state, chosenTransition, transitions));
}
// If the chosen transition was an incorrect Unary/CompoundUnary
// transition, skip past it and hope to continue the gold
// transition sequence. However, if we have Unary/CompoundUnary
// in a row, we have to return false to prevent loops.
// Also, if the state stack size is 0, can't keep going
if ((chosenTransition is UnaryTransition) || (chosenTransition is CompoundUnaryTransition))
{
if (state.transitions.Size() > 0)
{
ITransition previous = state.transitions.Peek();
if ((previous is UnaryTransition) || (previous is CompoundUnaryTransition))
{
return(false);
}
}
if (state.stack.Size() == 0)
{
return(false);
}
return(true);
}
if (chosenTransition is BinaryTransition)
{
if (state.stack.Size() < 2)
{
return(false);
}
if (goldTransition is ShiftTransition)
{
// Helps, but adds quite a bit of size to the model and only helps a tiny bit
return(op.TrainOptions().oracleBinaryToShift&& ReorderIncorrectBinaryTransition(transitions));
}
if (!(goldTransition is BinaryTransition))
{
return(false);
}
BinaryTransition chosenBinary = (BinaryTransition)chosenTransition;
BinaryTransition goldBinary = (BinaryTransition)goldTransition;
if (chosenBinary.IsBinarized())
{
// Binarized labels only work (for now, at least) if the side
// is wrong but the label itself is correct
if (goldBinary.IsBinarized() && chosenBinary.label.Equals(goldBinary.label))
{
transitions.Remove(0);
return(true);
}
else
{
return(false);
}
}
// In all other binarized situations, essentially what has
// happened is we added a bracket error, but future brackets can
// still wind up being correct
transitions.Remove(0);
return(true);
}
if ((chosenTransition is ShiftTransition) && (goldTransition is BinaryTransition))
{
// can't shift at the end of the queue
if (state.EndOfQueue())
{
return(false);
}
// doesn't help, sadly
BinaryTransition goldBinary = (BinaryTransition)goldTransition;
if (!goldBinary.IsBinarized())
{
return(op.TrainOptions().oracleShiftToBinary&& ReorderIncorrectShiftTransition(transitions));
}
}
return(false);
}