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Semantic and Heuristic Based Approach for Paraphrase Identification
2018
2018 14th International Conference on Semantics, Knowledge and Grids (SKG)
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 namedentities and common words. The developed approach distinguishes the computation of the semantic similarity of namedentity 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
doi:10.1109/skg.2018.00037
dblp:conf/skg/Mohamed018
fatcat:ckugovkxvrd3heel5likpm5jdu