San Jose State University

Knowledge base has  large scale information where data is maintained in “factual triplets”. KBs enhance text generation models 

- Design Supervised Tasks around KB for Joint Optimization
- Enhance Incorporation by Selecting KB or Facts in KB


NLG Enhanced by Knowledge Base

A Survey of Knowledge-Enhanced Text Generation

NLG applications enhanced by knowledge base

Inorder to utilize the full capacity of Knowledge bases ,joint training of neural models on multiple tasks like question understanding ,fact retrieval from KB is done if the target task is answer sequence generation.

Design Supervised Tasks around KB for Joint Optimization

Prior distribution is used to approximate posterior distributions over knowledge base inorder to select better facts from the knowledge base for an input output pair.

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