HRR vectors weren't being normalized. Oops.
Fixed abstract algorithm again.

Should directly add in the vectors that exceed the threshold, not scale
by the dot product. This matches the neural algorithm, where we decode
the thresholding function from the association populations.
Added deep sentence test.

Each trial, construct a sentence with an embedded clause, and ask the
network about both the surface level and embedded constituents.
Fixed newlines.
Use 0.7 correctness threshold like we were using
Unitary: only relation-type/role vectors unitary.

They're the only ones that really matter.
Graph now includesresults for embedded sent. test.
Added noneg cl arg.

Applies only to hierarchical tests. Skips all the negative-instance tests.
General code cleanup.