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NAACL
2003

Semantic Coherence Scoring Using an Ontology

8 years 10 months ago
Semantic Coherence Scoring Using an Ontology
In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. We apply our system to the task of scoring alternative speech recognition hypotheses (SRH) in terms of their semantic coherence. We conducted an annotation experiment and showed that human annotators can reliably differentiate between semantically coherent and incoherent speech recognition hypotheses. 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%).
Iryna Gurevych, Rainer Malaka, Robert Porzel, Hans
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where NAACL
Authors Iryna Gurevych, Rainer Malaka, Robert Porzel, Hans-Peter Zorn
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