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Extending Neural Generative Conversational Model using External Knowledge Sources

arXiv 1809.05524 ↗First posted 14 Sep 2018cs.CL cs.AIcited by 16

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Abstract (arXiv)

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.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Sep 2018.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 1; 2024: 3.

16 papers.

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  1. 2021Few-Shot Bot: Prompt-Based Learning for Dialogue Systemscited by 64
  2. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  3. 2022Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphscited by 11
  4. 2021Human-like informative conversations: Better acknowledgements using conditional mutual informationcited by 6
  5. 2024Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generationcited by 6
  6. 2021Viola: A Topic Agnostic Generate-and-Rank Dialogue Systemcited by 2
  7. 2022Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledgecited by 2
  8. 2021Converse, Focus and Guess -- Towards Multi-Document Driven Dialoguecited by 1
  9. 2021Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?cited by 1
  10. 2022Lexical Knowledge Internalization for Neural Dialog Generationcited by 1
  11. 2022Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systemscited by 1
  12. 2023Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoringcited by 1
4 more
  1. 2024Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Surveycited by 1
  2. 2021A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic losscited by 0
  3. 2021A Neural Conversation Generation Model via Equivalent Shared Memory Investigationcited by 0
  4. 2024Information for Conversation Generation: Proposals Utilising Knowledge Graphscited by 0