Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning.
Xuantao LuJingping LiuZhouhong GuHanwen TongChenhao XieJunyang HuangYanghua XiaoWenguang WangPublished in: COLING (2022)
Keyphrases
- first order logic
- natural language
- reinforcement learning
- knowledge representation
- propositional logic
- expressive power
- natural language processing
- inference rules
- machine learning
- theorem proving
- probabilistic reasoning
- theorem prover
- representation language
- probabilistic graphical models
- markov networks
- horn clauses
- information extraction
- inductive logic programming
- semantic analysis
- proof procedure
- transitive closure
- predicate calculus
- markov logic networks
- classical first order logic
- logical formulas
- learning algorithm
- natural language understanding
- natural language text
- artificial intelligence
- relational structures
- markov logic