University of Oulu

M. A. Mohamed and M. Oussalah, "Semantic and Heuristic Based Approach for Paraphrase Identification," 2018 14th International Conference on Semantics, Knowledge and Grids (SKG), Guangzhou, China, 2018, pp. 203-210,

Semantic and heuristic based approach for paraphrase identification

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Author: Mohamed, Muhidin A.1; Oussalah, Mourad2
Organizations: 1School of Engineering and Applied Sciences, Aston University, Birmingham B4 7ET UK
2Faculty of Information Technology University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-04-23


In this paper, we propose a semantic-based paraphrase identification approach. The core concept of this proposal is to identify paraphrases when sentences contain a set of named-entities and common words. The developed approach distinguishes the computation of the semantic similarity of named-entity tokens from the rest of the sentence text. More specifically, this is based on the integration of word semantic similarity derived from WordNet taxonomic relations, and named-entity semantic relatedness inferred from the crowd-sourced knowledge in Wikipedia database. Besides, we improve WordNet similarity measure by nominalizing verbs, adjectives and adverbs with the aid of Categorial Variation database (CatVar). The paraphrase identification system is then evaluated using two different datasets; namely, Microsoft Research Paraphrase Corpus (MSRPC) and TREC-9 Question Variants. Experimental results on the aforementioned datasets show that our system outperforms baselines in the paraphrase identification task.

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Series: International Conference on Semantics, Knowledge and Grid
ISSN: 2472-9663
ISSN-L: 2472-9663
ISBN: 978-1-7281-0441-6
ISBN Print: 978-1-7281-0442-3
Pages: 1 - 8
DOI: 10.1109/SKG.2018.00037
Host publication: 2018 14th International Conference on Semantics, Knowledge and Grids (SKG)
Conference: International Conference on Semantics, Knowledge and Grids (SKG)
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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