@inproceedings{abdessamed-etal-2024-identifying,
title = "Identifying Narrative Content in Podcast Transcripts",
author = "Abdessamed, Yosra and
Rezapour, Shadi and
Wilson, Steven",
editor = "Graham, Yvette and
Purver, Matthew",
booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = mar,
year = "2024",
address = "St. Julian{'}s, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.eacl-long.161",
pages = "2631--2643",
abstract = "As one of the oldest forms of human communication, narratives appear across a variety of genres and media. Computational methods have been applied to study narrativity in novels, social media, and patient records, leading to new approaches and insights. However, other types of media are growing in popularity, like podcasts. Podcasts contain a multitude of spoken narratives that can provide a meaningful glimpse into how people share stories with one another.In this paper, we outline and apply methods to process English-language podcast transcripts and extract narrative content from conversations within each episode. We provide an initial analysis of the types of narrative content that exists within a wide range of podcasts, and compare our results to other established narrative analysis tools.Our annotations for narrativity and pretrained models can help to enable future research into narrativity within a large corpus of approximately 100,000 podcast episodes.",
}
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%0 Conference Proceedings
%T Identifying Narrative Content in Podcast Transcripts
%A Abdessamed, Yosra
%A Rezapour, Shadi
%A Wilson, Steven
%Y Graham, Yvette
%Y Purver, Matthew
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F abdessamed-etal-2024-identifying
%X As one of the oldest forms of human communication, narratives appear across a variety of genres and media. Computational methods have been applied to study narrativity in novels, social media, and patient records, leading to new approaches and insights. However, other types of media are growing in popularity, like podcasts. Podcasts contain a multitude of spoken narratives that can provide a meaningful glimpse into how people share stories with one another.In this paper, we outline and apply methods to process English-language podcast transcripts and extract narrative content from conversations within each episode. We provide an initial analysis of the types of narrative content that exists within a wide range of podcasts, and compare our results to other established narrative analysis tools.Our annotations for narrativity and pretrained models can help to enable future research into narrativity within a large corpus of approximately 100,000 podcast episodes.
%U https://aclanthology.org/2024.eacl-long.161
%P 2631-2643
Markdown (Informal)
[Identifying Narrative Content in Podcast Transcripts](https://aclanthology.org/2024.eacl-long.161) (Abdessamed et al., EACL 2024)
ACL
- Yosra Abdessamed, Shadi Rezapour, and Steven Wilson. 2024. Identifying Narrative Content in Podcast Transcripts. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2631–2643, St. Julian’s, Malta. Association for Computational Linguistics.