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Found 3 papers, 3 papers with code
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
In this paper, we propose a multi-mapping mechanism to better capture the one-to-many relationship, where multiple mapping modules are employed as latent mechanisms to model the semantic mappings from an input post to its diverse responses.
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering
In order to relieve burdens of software engineers without knowledge of Bayesian networks, Familia is able to conduct automatic parameter inference for a variety of topic models.
Learning to Select Knowledge for Response Generation in Dialog Systems
Specifically, a posterior distribution over knowledge is inferred from both utterances and responses, and it ensures the appropriate selection of knowledge during the training process.
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