Papers with Hierarchical Dirichlet Process-Spectral Mixture Latent Dirichlet Allocation
Learning Adverbs with Spectral Mixture Kernels (2024.findings-acl)
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| Challenge: | In order for robots to collaborate with humans, it is important to share and understand their experiences through language. |
| Approach: | They propose a hierarchical Dirichlet Process-Spectral Mixture Latent Dirichlets Allocation model which learns the relationship between human motions and adverbs by capturing frequency kernels that represent motion characteristics and shared topics of a given aadverts. |
| Outcome: | The proposed model outperforms representative neural network models in terms of perplexity score and predicts more appropriate adverbs. |