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Found 6 papers, 4 papers with code
Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space
We open-source HyperSeg to provide a strong baseline for unsupervised topic segmentation.
Leveraging Non-dialogue Summaries for Dialogue Summarization
To mitigate the lack of diverse dialogue summarization datasets in academia, we present methods to utilize non-dialogue summarization data for enhancing dialogue summarization systems.
LIME: Weakly-Supervised Text Classification Without Seeds
With just an off-the-shelf textual entailment model, LIME outperforms recent baselines in weakly-supervised text classification and achieves state-of-the-art in 4 benchmarks.
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
We advance the state-of-the-art in unsupervised abstractive dialogue summarization by utilizing multi-sentence compression graphs.
Finetuning Pretrained Transformers into Variational Autoencoders
Text variational autoencoders (VAEs) are notorious for posterior collapse, a phenomenon where the model's decoder learns to ignore signals from the encoder.
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation
Fine-tuning pretrained language models (LMs) is a popular approach to automatic speech recognition (ASR) error detection during post-processing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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