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Found 4 papers, 1 papers with code
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring.
Unsupervised Opinion Summarisation in the Wasserstein Space
A Variational Autoencoder is used to get the distribution of documents/posts, and the distributions are disentangled into separate semantic and syntactic spaces.
Identifying Moments of Change from Longitudinal User Text
Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance.
An Encoding Strategy Based Word-Character LSTM for Chinese NER
A recently proposed lattice model has demonstrated that words in character sequence can provide rich word boundary information for character-based Chinese NER model.
