Supported Attributes¶
The task
option in the client.score()
function decides what attributes we calculate. Currently, we only support attributes for summarization task (task=sum
). The following attributes (reference: this paper) will be calculated if cal_attributes
is set to True
in client.score()
. They are all reference-free.
source_len
: measures the length of the source text.hypothesis_len
: measures the length of the hypothesis text.density & coverage
: measures to what extent a summary covers the content in the source text.compression
: measures the compression ratio from the source text to the generated summary.repetition
: measures the rate of repeated segments in summaries. The segments are instantiated as trigrams.novelty
: measures the proportion of segments in the summaries that haven’t appeared in source documents. The segments are instantiated as bigrams.copy_len
: measures the average length of segments in summary copied from source document.