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Found 4 papers, 3 papers with code
Generating Narrative Text in a Switching Dynamical System
A SLDS is a dynamical system in which the latent dynamics of the system (i. e. how the state vector transforms over time) is controlled by top-level discrete switching variables.
Hierarchical Quantized Representations for Script Generation
This permits the decoder to softly decide what portions of the latent hierarchy to condition on by attending over the value embeddings for a given setting.
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Seq2Seq based neural architectures have become the go-to architecture to apply to sequence to sequence language tasks.
Controlling Decoding for More Abstractive Summaries with Copy-Based Networks
Attention-based neural abstractive summarization systems equipped with copy mechanisms have shown promising results.
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