Text Summarization while Maximizing Multiple Objectives with Lagrangian Relaxation.
Masaaki NishinoNorihito YasudaTsutomu HiraoJun SuzukiMasaaki NagataPublished in: ECIR (2013)
Keyphrases
- text summarization
- lagrangian relaxation
- multiple objectives
- multi objective
- integer programming
- natural language processing
- lower bound
- named entity recognition
- feasible solution
- branch and bound algorithm
- np hard
- information extraction
- column generation
- dynamic programming
- multi objective optimization
- linear programming
- question answering
- knapsack problem
- lower and upper bounds
- query expansion
- fitness function
- automatic text summarization
- upper bound
- evolutionary algorithm
- optimal solution
- bi objective
- named entities
- conditional random fields
- objective function
- genetic algorithm
- segmentation method
- image retrieval
- association rules
- bayesian networks
- artificial intelligence
- machine learning