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Extending Neural Generative Conversational Model Using External Knowledge Sources

Prasanna Parthasarathi, Joelle Pineau. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing 2018 – 21 citations

[Paper]    
Model Architecture RAG Tools Agentic Training Techniques

The use of connectionist approaches in conversational agents has been progressing rapidly due to the availability of large corpora. However current generative dialogue models often lack coherence and are content poor. This work proposes an architecture to incorporate unstructured knowledge sources to enhance the next utterance prediction in chit-chat type of generative dialogue models. We focus on Sequence-to-Sequence (Seq2Seq) conversational agents trained with the Reddit News dataset, and consider incorporating external knowledge from Wikipedia summaries as well as from the NELL knowledge base. Our experiments show faster training time and improved perplexity when leveraging external knowledge.

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