An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques

  title={An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques},
  author={Donald Metzler and Eduard H. Hovy and Chunliang Zhang},
Paraphrase generation is an important task that has received a great deal of interest recently. Proposed data-driven solutions to the problem have ranged from simple approaches that make minimal use of NLP tools to more complex approaches that rely on numerous language-dependent resources. Despite all of the attention, there have been very few direct empirical evaluations comparing the merits of the different approaches. This paper empirically examines the tradeoffs between simple and… CONTINUE READING

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