Using Concept-Level Random Walk Model and Global Inference Algorithm for Answer Summarization.
Xiaoying LiuZhoujun LiXiaojian ZhaoZhenggan ZhouPublished in: AIRS (2011)
Keyphrases
- random walk
- hyper graph
- flow graph
- transition probability matrix
- probabilistic model
- objective function
- transition probabilities
- k means
- learning algorithm
- search space
- markov chain
- markov random walk
- markov model
- energy function
- em algorithm
- graph model
- dynamic programming
- multi db
- graphical models
- constraint satisfaction
- directed graph
- bipartite graph
- information extraction
- optimal solution
- reinforcement learning
- similarity measure
- machine learning