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MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification. (arXiv:2205.12394v1 [cs.CL])
May 26, 2022, 1:11 a.m. | Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, Jackie Chi Kit Cheung
cs.CL updates on arXiv.org arxiv.org
In text summarization and simplification, system outputs must be evaluated
along multiple dimensions such as relevance, factual consistency, fluency, and
grammaticality, and a wide range of possible outputs could be of high quality.
These properties make the development of an adaptable, reference-less
evaluation metric both necessary and challenging. We introduce MaskEval, a
reference-less metric for text summarization and simplification that operates
by performing masked language modeling (MLM) on the concatenation of the
candidate and the source texts. It features an …
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