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Matches in ScholarlyData for { ?s ?p In this paper we introduce the Semantic Topic Compass (STC) Framework, which makes use of topic priors derived from structured knowledge sources to facilitate the semantic feature grading of a topic. The proposed STC characterises ambiguity in a topic's feature space. In this paper we investigate the impact of the use of ambiguous lexicons in a topic classification task. Our findings show promising results in understanding the impact of ambiguity in feature relevance assessment for topic classification. . }

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