• Corpus ID: 209071986

AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue

@inproceedings{Kumar2020AMUSEDAM,
  title={AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue},
  author={Gaurav Kumar and Rishabh Joshi and Jaspreet Singh and Promod Yenigalla},
  booktitle={LREC},
  year={2020}
}
The problem of building a coherent and non-monotonous conversational agent with proper discourse and coverage is still an area of open research. Current architectures only take care of semantic and contextual information for a given query and fail to completely account for syntactic and external knowledge which are crucial for generating responses in a chit-chat system. To overcome this problem, we propose an end to end multi-stream deep learning architecture that learns unified embeddings for… 

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