Process / pipeline

Paraphrase Detection — Identifying Semantic Equivalence

Paraphrase detection is a natural-language-processing task that decides whether two sentences expressed in different wordings carry the same meaning. The task and its benchmark resources were established by Dolan and Brockett (2005), and it underpins plagiarism detection, question matching, and data deduplication.

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Sources

  1. Dolan, W. B. & Brockett, C. (2005). Automatically Constructing a Corpus of Sentential Paraphrases. Proceedings of the Third International Workshop on Paraphrasing (IWP). link
  2. Wan, S., Dras, M., Dale, R. & Paris, C. (2006). Using Dependency-Based Features to Take the Para-farce Out of Paraphrase. Proceedings of the Australasian Language Technology Workshop (ALTA). link

Related methods

Referenced by

ScholarGateParaphrase Detection (Paraphrase Detection). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/paraphrase-detection