NLP for CP
Addressing Constraint Programming with Natural Language Processing
Home
Resources
Publications
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 Well_Mining — Constraint detection
Wells
are
composed
of
various
pay
sands
.
Each
pay
sand
has
a
depth
and
each
well
has
a
production
rate
.
In
order
to
``
enter
''
a
new
pay
sand
,
a
workover
is
required
.
The
duration
of
the
workover
depends
on
the
composition
of
the
pay
sand
that
follows
.
The
number
of
wells
that
can
run
simultaneously
is
limited
.
The
objective
is
sequencing
the
operations
and
the
workover
operations
in
order
to
minimize
the
whole
completion
time
.
Problem Well_Mining — Detection of the decisions and objects to be modeled
Wells
are
composed
of
various
pay
sands
.
Each
pay
sand
has
a
depth
and
each
well
has
a
production
rate
.
In
order
to
``
enter
''
a
new
pay
sand
,
a
workover
is
required
.
The
duration
of
the
workover
depends
on
the
composition
of
the
pay
sand
that
follows
.
The
number
of
wells
that
can
run
simultaneously
is
limited
.
The
objective
is
sequencing
the
operations
and
the
workover
operations
in
order
to
minimize
the
whole
completion
time
.
Back to list