文章基本信息

标题：Detecting Extraneous Content in Podcasts
本地全文：下载
作者：Sravana Reddy ; Yongze Yu ; Aasish Pappu 等
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2021
卷号：2021
页码：1166-1173
DOI：10.18653/v1/2021.eacl-main.99
语种：English
出版社：ACL Anthology
摘要：Podcast episodes often contain material extraneous to the main content, such as advertisements, interleaved within the audio and the written descriptions. We present classifiers that leverage both textual and listening patterns in order to detect such content in podcast descriptions and audio transcripts. We demonstrate that our models are effective by evaluating them on the downstream task of podcast summarization and show that we can substantively improve ROUGE scores and reduce the extraneous content generated in the summaries.