most citedTREC 2020 Podcasts Track Overview

9 citations · 16 across the 4 of their papers we have counts for

collaborators

7 papers

cs.IR20216 cited

Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search

Ben Carterette, Rosie Jones, Gareth F. Jones +6

Rapidly growing online podcast archives contain diverse content on a wide range of topics. These archives form an important resource for entertainment and professional use, but the…

cs.IR20211 cited

Current Challenges and Future Directions in Podcast Information Access

Rosie Jones, Hamed Zamani, Markus Schedl +11

Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and c…

cs.CL2021

Modeling Language Usage and Listener Engagement in Podcasts

Sravana Reddy, Marina Lazarova, Yongze Yu +1

While there is an abundance of popular writing targeted to podcast creators on how to speak in ways that engage their listeners, there has been little data-driven analysis of podca…

cs.CL2021

Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization

Rezvaneh Rezapour, Sravana Reddy, Ann Clifton +1

This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020. The goal of this challenge was t…

cs.IR20219 cited

TREC 2020 Podcasts Track Overview

Rosie Jones, Ben Carterette, Ann Clifton +6

The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020. The podcast track was designed to encourage research into podcasts in the information retrieval and NLP re…

cs.CL2021

Detecting Extraneous Content in Podcasts

Sravana Reddy, Yongze Yu, Aasish Pappu +3

Podcast episodes often contain material extraneous to the main content, such as advertisements, interleaved within the audio and the written descriptions. We present classifiers th…