NLP for CP
Addressing Constraint Programming with Natural Language Processing
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Correct
predictions are in
blue
. If we detect only a subset of a labelled sentence, we highlight the caught part as
blue
, the missing part
light blue.
False positives
are in
green
and
false negatives
are in
red
.
Problem 132 (A Layout Problem) — Constraint detection
Given
a
grid
,
we
want
to
place
a
number
of
pieces
such
that
every
piece
is
completely
included
in
the
grid
and
no
overlapping
occurs
between
pieces
.
Problem 132 (A Layout Problem) — Detection of the decisions and objects to be modeled
Given
a
grid
,
we
want
to
place
a
number
of
pieces
such
that
every
piece
is
completely
included
in
the
grid
and
no
overlapping
occurs
between
pieces
.
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