Memory Grounded Conversational Reasoning
Autor: | Rajen Subba, Anuj Kumar, Pararth Shah, Seungwhan Moon |
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Rok vydání: | 2019 |
Předmět: |
Recall
Computer science Human–computer interaction 0202 electrical engineering electronic engineering information engineering Natural (music) 020201 artificial intelligence & image processing 02 engineering and technology 010501 environmental sciences Dialog box 01 natural sciences Episodic memory 0105 earth and related environmental sciences |
Zdroj: | EMNLP/IJCNLP (3) |
Popis: | We demonstrate a conversational system which engages the user through a multi-modal, multi-turn dialog over the user’s memories. The system can perform QA over memories by responding to user queries to recall specific attributes and associated media (e.g. photos) of past episodic memories. The system can also make proactive suggestions to surface related events or facts from past memories to make conversations more engaging and natural. To implement such a system, we collect a new corpus of memory grounded conversations, which comprises human-to-human role-playing dialogs given synthetic memory graphs with simulated attributes. Our proof-of-concept system operates on these synthetic memory graphs, however it can be trained and applied to real-world user memory data (e.g. photo albums, etc.) We present the architecture of the proposed conversational system, and example queries that the system supports. |
Databáze: | OpenAIRE |
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