#16956Thislogical model yields a calculus of equivalences, which can be used to simplify formulas.
model,1-9-P86-1038,ak
computationally inefficient . Our
<term>
model
</term>
allows a careful examination of the
#16989Ourmodel allows a careful examination of the computational complexity of unification.
model,12-6-P86-1038,ak
of Pereira and Shieber by using a
<term>
logical model
</term>
in place of a
<term>
denotational semantics
#16946Our interpretation differs from that of Pereira and Shieber by using alogical model in place of a denotational semantics.
model,4-3-P86-1038,ak
is desirable . We have developed a
<term>
model
</term>
in which descriptions of
<term>
feature
#16857We have developed amodel in which descriptions of feature structures can be regarded as logical formulas, and interpreted by sets of directed graphs which satisfy them.
other,0-1-P86-1038,ak
of the two
<term>
formalisms
</term>
.
<term>
Unification-based grammar formalisms
</term>
use
<term>
structures
</term>
containing
#16806We then turn to a discussion comparing the linguistic expressiveness of the two formalisms.Unification-based grammar formalisms use structures containing sets of features to describe linguistic objects.
other,1-5-P86-1038,ak
deterministic finite automaton
</term>
. This
<term>
semantics
</term>
for
<term>
feature structures
</term>
#16901Thissemantics for feature structures extends the ideas of Pereira and Shieber [11], by providing an interpretation for values which are specified by disjunctions and path values embedded within disjunctions.
other,11-1-P86-1038,ak
of
<term>
features
</term>
to describe
<term>
linguistic objects
</term>
. Although
<term>
computational algorithms
#16817Unification-based grammar formalisms use structures containing sets of features to describelinguistic objects.
other,18-6-P86-1038,ak
<term>
logical model
</term>
in place of a
<term>
denotational semantics
</term>
. This
<term>
logical model
</term>
yields
#16952Our interpretation differs from that of Pereira and Shieber by using a logical model in place of adenotational semantics.
other,21-11-P86-1038,ak
in a way which delays expansion to
<term>
disjunctive normal form
</term>
. Currently several
<term>
grammatical
#17037To deal with this complexity, we describe how disjunctive values can be specified in a way which delays expansion todisjunctive normal form.
other,26-5-P86-1038,ak
for values which are specified by
<term>
disjunctions
</term>
and
<term>
path values
</term>
embedded
#16926This semantics for feature structures extends the ideas of Pereira and Shieber [11], by providing an interpretation for values which are specified bydisjunctions and path values embedded within disjunctions.
other,28-2-P86-1038,ak
and a more precise description of
<term>
feature structures
</term>
is desirable . We have developed
#16848Although computational algorithms for unification of feature structures have been worked out in experimental research, these algorithms become quite complicated, and a more precise description offeature structures is desirable.
other,28-5-P86-1038,ak
specified by
<term>
disjunctions
</term>
and
<term>
path values
</term>
embedded within
<term>
disjunctions
#16928This semantics for feature structures extends the ideas of Pereira and Shieber [11], by providing an interpretation for values which are specified by disjunctions andpath values embedded within disjunctions.
other,3-5-P86-1038,ak
</term>
. This
<term>
semantics
</term>
for
<term>
feature structures
</term>
extends the ideas of Pereira and
#16903This semantics forfeature structures extends the ideas of Pereira and Shieber [11], by providing an interpretation for values which are specified by disjunctions and path values embedded within disjunctions.
other,32-5-P86-1038,ak
<term>
path values
</term>
embedded within
<term>
disjunctions
</term>
. Our interpretation differs from
#16932This semantics for feature structures extends the ideas of Pereira and Shieber [11], by providing an interpretation for values which are specified by disjunctions and path values embedded withindisjunctions.
other,4-1-P86-1038,ak
Unification-based grammar formalisms
</term>
use
<term>
structures
</term>
containing sets of
<term>
features
</term>
#16810Unification-based grammar formalisms usestructures containing sets of features to describe linguistic objects.
other,4-11-P86-1038,ak
is NP-complete . To deal with this
<term>
complexity
</term>
, we describe how
<term>
disjunctive
#17020To deal with thiscomplexity, we describe how disjunctive values can be specified in a way which delays expansion to disjunctive normal form.
other,5-10-P86-1038,ak
unification
</term>
. We have shown that the
<term>
consistency problem
</term>
for
<term>
formulas
</term>
with disjunctive
#17006We have shown that theconsistency problem for formulas with disjunctive values is NP-complete.
other,8-1-P86-1038,ak
structures
</term>
containing sets of
<term>
features
</term>
to describe
<term>
linguistic objects
#16814Unification-based grammar formalisms use structures containing sets offeatures to describe linguistic objects.
other,8-9-P86-1038,ak
allows a careful examination of the
<term>
computational complexity
</term>
of
<term>
unification
</term>
. We have
#16996Our model allows a careful examination of thecomputational complexity of unification.
other,9-11-P86-1038,ak
complexity
</term>
, we describe how
<term>
disjunctive values
</term>
can be specified in a way which delays
#17025To deal with this complexity, we describe howdisjunctive values can be specified in a way which delays expansion to disjunctive normal form.