2 resources

  • Weizhe Yuan, Graham Neubig, Pengfei Liu,...
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    Apr 19th, 2021
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    journalArticle
    Weizhe Yuan, Graham Neubig, Pengfei Liu,...
    Apr 19th, 2021

    A wide variety of NLP applications, such as machine translation, summarization, and dialog, involve text generation. One major challenge for these applications is how to evaluate whether such generated texts are actually fluent, accurate, or effective. In this work, we conceptualize the evaluation of generated text as a text generation problem, modeled using pre-trained sequence-to-sequence models. The general idea is that models trained to convert the generated text to/from a reference...

  • Shuyan Zhou, Uri Alon, Sumit Agarwal
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    Apr 19th, 2023
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    conferencePaper
    Shuyan Zhou, Uri Alon, Sumit Agarwal
    Apr 19th, 2023
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