mlsanityData to 14 Oct 2026

What Makes a Good Paraphrase: Do Automated Evaluations Work?

arXiv 2307.14818 ↗First posted 27 Jul 2023cs.CLcited by 0

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Abstract (arXiv)

Paraphrasing is the task of expressing an essential idea or meaning in different words. But how different should the words be in order to be considered an acceptable paraphrase? And can we exclusively use automated metrics to evaluate the quality of a paraphrase? We attempt to answer these questions by conducting experiments on a German data set and performing automatic and expert linguistic evaluation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 12 references that are in the map. First posted on arXiv 27 Jul 2023.

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4 of 12 references.

References · 4

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  4. 2021ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generationcited by 28

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