Using POMDPs for Topic-Focused Multi-Document Summarization (L'utilisation des POMDP pour les résumés multi-documents orientés par une thématique) [in French].
Yllias ChaliSadid A. HasanMustapha MojahidPublished in: TALN (1) (2013)
Keyphrases
- partially observable markov decision processes
- belief state
- reinforcement learning
- point based value iteration
- partially observable
- multi document summarization
- finite state
- partially observable markov decision process
- continuous state
- belief space
- cross document
- markov decision processes
- dec pomdps
- optimal policy
- decision problems
- state space
- information retrieval
- dynamical systems
- relevant documents
- information retrieval systems
- dynamic programming
- web documents
- markov decision problems
- planning problems
- document clustering
- document collections
- infinite horizon
- topic focused multi document summarization
- manifold ranking
- predictive state representations
- document retrieval
- text documents
- multi agent
- partially observable markov decision
- document set
- belief revision
- query terms
- policy gradient
- markov chain
- document representation
- decision theoretic
- metadata