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 031 (Rack configuration problem) — Constraint detection
The
rack
configuration
problem
consists
of
plugging
a
set
of
electronic
cards
into
racks
with
electronic
connectors
.
Each
card
plugged
into
a
rack
uses
a
connector
.
In
order
to
plug
a
card
into
a
rack
,
the
rack
must
be
of
a
rack
model
.
Each
card
is
characterised
by
the
power
it
requires
.
Each
rack
model
is
characterised
by
the
maximal
power
it
can
supply
,
its
number
of
connectors
,
and
its
price
.
The
problem
is
to
decide
how
many
of
the
available
racks
are
actually
needed
,
and
which
rack
is
of
which
rack
model
such
that
:
every
card
is
plugged
into
one
rack
;
the
total
power
demand
and
the
number
of
connectors
required
by
the
cards
does
not
exceed
that
available
for
a
rack
;
the
total
price
is
minimised
.
Problem 031 (Rack configuration problem) — Detection of the decisions and objects to be modeled
The
rack
configuration
problem
consists
of
plugging
a
set
of
electronic
cards
into
racks
with
electronic
connectors
.
Each
card
plugged
into
a
rack
uses
a
connector
.
In
order
to
plug
a
card
into
a
rack
,
the
rack
must
be
of
a
rack
model
.
Each
card
is
characterised
by
the
power
it
requires
.
Each
rack
model
is
characterised
by
the
maximal
power
it
can
supply
,
its
number
of
connectors
,
and
its
price
.
The
problem
is
to
decide
how
many
of
the
available
racks
are
actually
needed
,
and
which
rack
is
of
which
rack
model
such
that
:
every
card
is
plugged
into
one
rack
;
the
total
power
demand
and
the
number
of
connectors
required
by
the
cards
does
not
exceed
that
available
for
a
rack
;
the
total
price
is
minimised
.
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