A94-1022 complete system including the Semantic Linker was evaluated in the December
A94-1022 experiments show that using the Semantic Linker reduced our system 's error rate
A94-1022 we discuss subsequently ) the Semantic Linker has been show to dramatically
H93-1007 LINKS AND THEIR PROBABILITIES The Semantic Linker first computes the link database
H93-1007 with an earlier w ~ rsion of the Semantic Linker than that reported here . In
A94-1022 a set of semantic graphs . The Semantic Linker seeks to connect these sub-graphs
H93-1007 parsing . This paper presents the Semantic Linker , the fallback component used
A94-1022 the relation AIRLINE-OF ) . The semantic linker may also " hallucinate " a new
A94-1022 very different algorithm , the Semantic Linker uses the same set of realization
A94-1022 the Delphi system is called the Semantic Linker ( Stallard and Bo - brow , 1993
H93-1007 features influence the actions of the Semantic Linker with respect to such matters
A94-1022 produced . Links established by the semantic linker are treated by the quantification
H93-1007 ABSTRACT This paper presents the Semantic Linker , the fallbaek component used
H93-1007 The important new feature of the Semantic Linker 's topic choice module is its
A94-1022 runs over them again with the Semantic Linker enabled . 8 Results Of Formal
H93-1007 evaluation -LSB- 6 -RSB- show that the Semantic Linker reduced DELPHI 's Weighted Error
A94-1022 of the utterance . Because the Semantic Linker uses the same set of realization
A94-1022 other syntactic ev - idence . The Semantic Linker does not have these re - quirements
H93-1007 spoken language system HARC . The Semantic Linker is invoked when DELPHI 's regular
H93-1007 spoken language system HARC . The Semantic Linker is invoked when DELPHI 's regular
hide detail