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Text segmentation aims to divide text into contiguous, semantically coherent segments, while segment labeling deals with producing labels for each segment.
Language models are few-shot learners
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Text segmentation via topic modeling: an analytical study
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Improving context modeling in neural topic segmentation
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Decoupled weight decay regularization
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Joe Barrow, Rajiv Jain, Vlad Morariu, Varun Manjunatha, Douglas W Oard, and Philip Resnik. 2020 · 2020
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Longt5: Efficient text-to-text transformer for long sequences
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End-to-end segmentation-based news summarization
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Dialoglm: Pre-trained model for long dialogue understanding and summarization
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2021a
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Qmsum: A new benchmark for query-based multi-domain meeting summarization
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Transformer over pre-trained transformer for neural text segmentation with enhanced topic coherence
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Unsupervised topic segmentation of meetings with bert embeddings
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