Cluster Labelling based on Concepts in a Machine-Readable Dictionary
نویسندگان
چکیده
This paper addresses the issue of cluster labeling and presents a method for assigning labels by using concepts in a machinereadable dictionary. We assume that salient terms in the cluster content have the same hypernym because hypernymic semantic relation represents a generalization that goes from specific to generic. Our experimental results reveal that hypernymic semantic relations can be exploited to increase labeling accuracy, as the results of 0.441 F-score improves over the two baselines.
منابع مشابه
Concept clustering and knowledge integration from a children's dictionary
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