Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff
Abstractive summarization of podcasts is motivated by the growing popularity of podcasts and the needs of their listeners. Podcasting is a markedly different domain from news and other media that are commonly studied in the context of automatic summarization. As such, the qualities of a good podcast summary are yet unknown. Using a collection of podcast summaries produced by different algorithms alongside human judgments of summary quality obtained from the TREC 2020 Podcasts Track, we study the correlations be- tween various automatic evaluation metrics and human judgments, as well as the linguistic aspects of summaries that result in strong evaluations.
Proceedings of the ACM Conference on Research and Development in Information Retrieval
July 17-22, 2022
ACM Conference on Research and Development in Information Retrieval
, Reddy, S.
, Jones, R.
and Soboroff, I.
What Makes a Good Podcast Summary?, Proceedings of the ACM Conference on Research and Development in Information Retrieval, Madrid, ES, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934398
(Accessed October 2, 2023)