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 Tents — Constraint detection
A
tents
problem
involves
completing
a
grid
which
has
been
partially
filled
out
with
trees
.
Each
remaining
square
contains
either
a
tent
or
grass
.
There
is
exactly
one
tent
orthogonally
adjacent
to
each
tree
and
no
two
tents
may
be
adjacent
,
orthogonally
or
otherwise
.
Furthermore
,
the
number
of
tents
in
each
row
and
column
has
to
be
equal
to
a
number
that
is
specified
as
part
of
the
problem
.
Problem Tents — Detection of the decisions and objects to be modeled
A
tents
problem
involves
completing
a
grid
which
has
been
partially
filled
out
with
trees
.
Each
remaining
square
contains
either
a
tent
or
grass
.
There
is
exactly
one
tent
orthogonally
adjacent
to
each
tree
and
no
two
tents
may
be
adjacent
,
orthogonally
or
otherwise
.
Furthermore
,
the
number
of
tents
in
each
row
and
column
has
to
be
equal
to
a
number
that
is
specified
as
part
of
the
problem
.
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