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Getting To Know You: User Attribute Extraction from Dialogues

arXiv 1908.04621 ↗First posted 13 Aug 2019cs.CL cs.AIcited by 19

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Abstract (arXiv)

User attributes provide rich and useful information for user understanding, yet structured and easy-to-use attributes are often sparsely populated. In this paper, we leverage dialogues with conversational agents, which contain strong suggestions of user information, to automatically extract user attributes. Since no existing dataset is available for this purpose, we apply distant supervision to train our proposed two-stage attribute extractor, which surpasses several retrieval and generation baselines on human evaluation. Meanwhile, we discuss potential applications (e.g., personalized recommendation and dialogue systems) of such extracted user attributes, and point out current limitations to cast light on future work.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Aug 2019.

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Citing papers per year: 2021: 5; 2022: 3; 2023: 6; 2024: 1; 2025: 1; 2026: 3.

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  1. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialoguecited by 121
  2. 2021Few-Shot Bot: Prompt-Based Learning for Dialogue Systemscited by 64
  3. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 62
  4. 2023Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversationscited by 47
  5. 2023Faithful Persona-based Conversational Dataset Generation with Large Language Modelscited by 45
  6. 2023ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Eventscited by 31
  7. 2023RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generationcited by 25
  8. 2021QAConv: Question Answering on Informative Conversationscited by 17
  9. 2022You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personascited by 11
  10. 2021A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profilescited by 8
  11. 2021Extracting and Inferring Personal Attributes from Dialoguecited by 8
  12. 2023Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialoguescited by 7
7 more
  1. 2025We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourismcited by 5
  2. 2022Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Datasetcited by 4
  3. 2026G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agentscited by 1
  4. 2021Taming the Beast: Learning to Control Neural Conversational Modelscited by 0
  5. 2023Speaker Profiling in Multiparty Conversationscited by 0
  6. 2026HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialoguecited by 0
  7. 2026FinLifeBench: Exhaustive Life-Event History and Financial-State Reconstruction from Longitudinal Banking Dialoguecited by 0