| tech,19-1-N03-1012,ak | concepts </term> on the basis of an <term> | ontology | </term> . We apply our <term> system </term> | #2455 In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology . | |
| tech,3-2-N03-1012,ak | <term> ontology </term> . We apply our <term> | system | </term> to the task of scoring alternative | #2460 We apply our system to the task of scoring alternative speech recognition hypotheses (SRH) in terms of their semantic coherence. | |
| tech,4-4-N03-1012,ak | hypotheses </term> . An evaluation of our <term> | system | </term> against the <term> annotated data </term> | #2506 An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHs as either coherent or incoherent (given a baseline of 54.55%). | |
| measure(ment),32-4-N03-1012,ak | coherent or incoherent ( given a <term> | baseline | </term> of 54.55 % ) . We propose a new <term> | #2534 An evaluation of our system against the annotated data shows that, it successfully classifies 73.2% in a German corpus of 2.284 SRHs as either coherent or incoherent (given a baseline of 54.55%). |
