Papers with unsupervised latent variable inference methods

1 papers
Pre-training Multi-party Dialogue Models with Latent Discourse Inference (2023.acl-long)

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Challenge: Existing studies have failed to scale up the pre-training process by putting aside unlabeled data . et al., 2019: multi-party dialogues are more difficult for models to understand since they involve multiple interlocutors resulting in interweaving reply-to relations and information flows.
Approach: They propose to treat discourse structures as latent variables and jointly infer them to pre-train a model that understands the discourse structure of multi-party dialogues.
Outcome: The proposed model outperforms baselines and achieves state-of-the-art results on multiple downstream tasks.

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