RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders.
Hanning GaoLingfei WuPo HuZhihua WeiFangli XuBo LongPublished in: CoRR (2021)
Keyphrases
- text generation
- reinforcement learning
- natural language generation
- graph databases
- fitted q iteration
- semantic web
- structural information
- relational data
- network architecture
- neural network
- weighted graph
- machine learning
- structural patterns
- graph model
- markov decision processes
- structured data
- state space
- metadata
- databases
- function approximation
- graph theory
- graph representation
- rdf graphs
- natural language
- graph kernels
- model free
- random walk
- theorem prover
- data model
- natural language processing
- linked data
- directed graph
- sensory inputs
- query language
- multi agent
- graph mining
- graph structure
- multi agent systems
- expert systems