other,4-11-P86-1038,bq NP-complete </term> . To deal with this <term> complexity </term> , we describe how <term> disjunctive
other,5-10-P86-1038,bq unification </term> . We have shown that the <term> consistency problem </term> for <term> formulas </term> with <term>
other,7-4-P86-1038,bq <term> graphs </term> are , in fact , <term> transition graphs </term> for a special type of <term> deterministic
other,7-7-P86-1038,bq logical model </term> yields a calculus of <term> equivalences </term> , which can be used to simplify <term>
other,8-1-P86-1038,bq </term> use structures containing sets of <term> features </term> to describe <term> linguistic objects
other,8-10-P86-1038,bq <term> consistency problem </term> for <term> formulas </term> with <term> disjunctive values </term>
other,8-9-P86-1038,bq allows a careful examination of the <term> computational complexity </term> of <term> unification </term> . We have
other,9-11-P86-1038,bq complexity </term> , we describe how <term> disjunctive </term> values can be specified in a way
other,9-3-P86-1038,bq model </term> in which descriptions of <term> feature structures </term> can be regarded as <term> logical formulas
tech,0-8-P86-1038,bq to simplify <term> formulas </term> . <term> Unification </term> is attractive , because of its generality
tech,1-2-P86-1038,bq linguistic objects </term> . Although <term> computational algorithms for unification of feature structures </term> have been worked out in experimental
tech,11-9-P86-1038,bq <term> computational complexity </term> of <term> unification </term> . We have shown that the <term> consistency
tech,14-4-P86-1038,bq graphs </term> for a special type of <term> deterministic finite automaton </term> . This <term> semantics </term> for <term>
tech,17-2-P86-1038,bq out in experimental research , these <term> algorithms </term> become quite complicated , and a
tech,19-11-P86-1038,bq be specified in a way which delays <term> expansion </term> to <term> disjunctive normal form </term>
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