Conference proceeding
What Makes a Good Podcast Summary?
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2039-2046
06 Jul 2022
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 between various automatic evaluation metrics and human judgments, as well as the linguistic aspects of summaries that result in strong evaluations.
Metrics
Details
- Title
- What Makes a Good Podcast Summary?
- Creators
- Rezvaneh Rezapour - Drexel UniversitySravana Reddy - ASAPP, New York, NY, USARosie Jones - Spotify, Boston, MA, USAIan Soboroff - NIST, Gaithersburg, MD, USAACM
- Publication Details
- Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 2039-2046
- Conference
- SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 45th (2022)
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000852715902018
- Scopus ID
- 2-s2.0-85135029270
- Other Identifier
- 991021861831304721
InCites Highlights
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems