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Dataset for paper "Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts". Please refer to the paper for details. Compared to the dataset used in the paper, 20 out of the 417 episodes have been removed due to copyright issues. The data file contains the following fields: - "episode_intro_start": the time stamp for episode introduction start (in milliseconds) - "episode_intro_end": the time stamp for episode introduction end (in milliseconds) - "program_intro_start": the time stamp for program introduction start (in milliseconds) - "program_intro_end": the time stamp for program introduction end (in milliseconds) - "program_name": name of the podcast program - "episode_name": name of the podcast episode - "transcription": JSON string containing the transcription, including the timestamps. - "annotator": anonymized annotator ID.
podcast, transcription, annotated linguistic resources
podcast, transcription, annotated linguistic resources
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 6 |

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