Papers with YTSeg

2 papers
From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions (2024.eacl-long)

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Challenge: Existing benchmarks for text segmentation are small in scale, synthesized, or only contain well-structured documents.
Approach: They propose a benchmark YTSeg focusing on spoken content that is unstructured and unstructures . they also introduce an efficient hierarchical segmentation model MiniSeg that outperforms state-of-the-art benchmarks.
Outcome: The proposed model outperforms state-of-the-art models on unstructured spoken content . the proposed model could be used for "smart chaptering" tasks .
Beyond Transcripts: A Renewed Perspective on Audio Chaptering (2026.acl-long)

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Challenge: despite its relevance, research on audio chaptering remains limited and predominantly textbased . authors: audio chapterers can't be used linearly because they skim, scrub timelines, jump to relevant moments . acoustic features and learning representations are not used for audio chapterer evaluation .
Approach: They propose to use audio-only architecture to automatically segment audio into coherent sections . they compare audio-based models with acoustic features and a novel audio-oriented architecture .
Outcome: The proposed audio-only architecture outperforms text-based approaches on acoustic features and LLMs.

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