Application-Oriented Comparison and Evaluation of Six Semantic Similarity Measures Based on Wordnet

Abstract

In the task of auto-building a Chinese-English semantic lexicon for translation selection, this research presents a method, which introduces WordNet similarity measures to wash out misaligned Chinese-English word pairs. Six different proposed measures of similarity based on WordNet were experimentally compared and evaluated by using WordNet and the software package WordNet::Similarity 1 . It was found that the leader measure is res and lch, then wup, lin takes the fourth place, then jcn, and random is the tailender.

Incremental Construction of Causal Network from News Articles

“…Various methods [9], [10], [11], [12], [13], [14], [15], [20] for measuring semantic similarity have been proposed. Lee's method [11] calculates the conditional probability between Verb and Noun.…”

“…Saruladha [10] surveyed some semantic similarity methods; Resnik's method [15], Jiang's method [9], etc. Liu [13] surveyed some semantic similarity methods based on WordNet and evaluated them; Resnik's method [15], Lin's method [12], Jiang's method [9] and Wu's method [20].…”

Ontology-based Metadata Integration Approach for Learning Resource Interoperability

“…The similarity score 65 . 0 ≥ based on the threshold of similarity value [21] is the only score accepted. Unacceptable values will be considered by the mapping rules in the next process.…”

“…This work adopts Wu & Palmer [20] to measure the similarity; the formula [21] is the following. The similarity score 65 .…”

Taxonomies and Ontologies in Web Semantic Applications:  The New Emerging Semantic Lexicon-Based Model

“…There is a wide literature on this topic. Peng-Yuan Liu et al [23] for example present a method for assessing misaligned Chinese-English word pairs using six different pseudo-metrics. The authors use an open-source project [24] that implements similarity computation through a Web based interface.…”