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What Makes a Good Podcast Summary?

Published

Author(s)

Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff

Abstract

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 Title
Proceedings of the ACM Conference on Research and Development in Information Retrieval
Conference Dates
July 17-22, 2022
Conference Location
Madrid, ES
Conference Title
ACM Conference on Research and Development in Information Retrieval

Keywords

automatic summarization, speech processing, audio

Citation

Rezapour, R. , Reddy, S. , Jones, R. and Soboroff, I. (2022), 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 May 28, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created July 11, 2022, Updated February 24, 2023