Web: http://arxiv.org/abs/2205.02035

May 5, 2022, 1:11 a.m. | Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung

cs.CL updates on arXiv.org arxiv.org

Despite the recent advances in abstractive summarization systems, it is still
difficult to determine whether a generated summary is factual consistent with
the source text. To this end, the latest approach is to train a factual
consistency classifier on factually consistent and inconsistent summaries.
Luckily, the former is readily available as reference summaries in existing
summarization datasets. However, generating the latter remains a challenge, as
they need to be factually inconsistent, yet closely relevant to the source text
to be …

arxiv summarization

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