Towards the Use of Deep Reinforcement Learning with Global Policy for Query-based Extractive Summarisation.
Diego Mollá AliodPublished in: ALTA (2017)
Keyphrases
- reinforcement learning
- optimal policy
- query processing
- query biased
- policy search
- database
- data sources
- relevance feedback
- response time
- text summarization
- retrieval systems
- function approximation
- markov decision process
- action selection
- state space
- query expansion
- markov decision processes
- partially observable environments
- multi document summarization
- query evaluation
- range queries
- user queries
- optimal control
- action space
- control policy
- control policies
- data structure
- xml documents
- database queries
- multi agent
- model free
- natural language processing
- policy gradient
- policy evaluation
- query terms