ClaC: Semantic Relatedness of Words and Phrases
Table 1: Relations Categories and Corresponding Weights.
['[BOLD] Category', '[BOLD] Weight', '[BOLD] Semantic Relations in WordNet or xWordnet']
To compute the semantic relatedness between nodes in the semantic network, it is necessary to take into consideration the semantic relation involved between two nodes. Indeed, WordNet’s 26 semantic relations are not equally distributed nor do they contribute equally to the semantic relatedness between concept. In order to indicate the contribution of each relation, we have classified them into seven categories: Similar, Hypernym, Sense, Predicate, Part, Instance, and Other. By classifying WordNet’s relations into these classes, we are able to weight the contribution of a relation based on the class it belongs to, as opposed to assigning a contributory weight to each relations. The weights were assigned by manually comparing the semantic features of a set of concepts that are related by a specific semantic relations. For example the category Similar includes WordNet’s relations of entailment, cause, verb group, similar to, participle of verb, antonym, and pertainym. This class of relations has the most common semantic features when comparing two concepts related with any of those relations and hence was assigned All the 26 relations in the table are the ones found in WordNet, for the exception of the predicate (and inverse predicate) relations which are the predicate relations extracted from the eXtended WordNet.