Computing Semantic Similarity based on Novel Models of Semantic Representation Using Wikipedia
Authors | Rong Qu Yongyi Fang Wen Bai Yuncheng Jiang |
|---|---|
Publication date | 2018 |
DOI | 10.1016/j.ipm.2018.07.002 |
Links | Original |
Computing Semantic Similarity based on Novel Models of Semantic Representation Using Wikipedia - scientific work related to Wikipedia quality published in 2018, written by Rong Qu, Yongyi Fang, Wen Bai and Yuncheng Jiang.
Overview
Abstract Computing Semantic Similarity (SS) between concepts is one of the most critical issues in many domains such as Natural Language Processing and Artificial Intelligence. Over the years, several SS measurement methods have been proposed by exploiting different knowledge resources. Wikipedia provides a large domain-independent encyclopedic repository and a semantic network for computing SS between concepts. Traditional feature-based measures rely on linear combinations of different properties with two main limitations, the insufficient information and the loss of semantic information. In this paper, authors propose several hybrid SS measurement approaches by using the Information Content (IC) and features of concepts, which avoid the limitations introduced above. Considering integrating discrete properties into one component, authors present two models of semantic representation, called CORM and CARM. Then, authors compute SS based on these models and take the IC of categories as a supplement of SS measurement. The evaluation, based on several widely used benchmarks and a benchmark developed by ourselves, sustains the intuitions with respect to human judgments. In summary, approaches are more efficient in determining SS between concepts and have a better human correlation than previous methods such as Word2Vec and NASARI.
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Wikipedia Quality
Qu, Rong; Fang, Yongyi; Bai, Wen; Jiang, Yuncheng. (2018). "[[Computing Semantic Similarity based on Novel Models of Semantic Representation Using Wikipedia]]". Elsevier BV. DOI: 10.1016/j.ipm.2018.07.002.
English Wikipedia
{{cite journal |last1=Qu |first1=Rong |last2=Fang |first2=Yongyi |last3=Bai |first3=Wen |last4=Jiang |first4=Yuncheng |title=Computing Semantic Similarity based on Novel Models of Semantic Representation Using Wikipedia |date=2018 |doi=10.1016/j.ipm.2018.07.002 |url=https://wikipediaquality.com/wiki/Computing_Semantic_Similarity_based_on_Novel_Models_of_Semantic_Representation_Using_Wikipedia |journal=Elsevier BV}}
HTML
Qu, Rong; Fang, Yongyi; Bai, Wen; Jiang, Yuncheng. (2018). "<a href="https://wikipediaquality.com/wiki/Computing_Semantic_Similarity_based_on_Novel_Models_of_Semantic_Representation_Using_Wikipedia">Computing Semantic Similarity based on Novel Models of Semantic Representation Using Wikipedia</a>". Elsevier BV. DOI: 10.1016/j.ipm.2018.07.002.
