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The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020. Thepodcast track was designed to encourage research into podcasts in theinformation retrieval and NLP research communities. The track consisted of twoshared tasks: segment retrieval and summarization, both based on a dataset ofover 100,000 podcast episodes (metadata, audio, and automatic transcripts)which was released concurrently with the track. The track generatedconsiderable interest, attracted hundreds of new registrations to TREC andfifteen teams, mostly disjoint between search and summarization, made finalsubmissions for assessment. Deep learning was the dominant experimentalapproach for both search experiments and summarization. This paper gives anoverview of the tasks and the results of the participants' experiments. Thetrack will return to TREC 2021 with the same two tasks, incorporating slightmodifications in response to participant feedback.

TREC 2020 Podcasts Track Overview