Incorporating multi-task learning in conditional random fields for chunking in semantic role labeling.
Saike HeTaozheng ZhangXue BaiXiaojie WangYuan DongPublished in: NLPKE (2009)
Keyphrases
- semantic role labeling
- multi task learning
- conditional random fields
- named entity recognition
- learning models
- multi task
- relation extraction
- information extraction
- probabilistic model
- learning tasks
- maximum entropy
- gaussian processes
- graphical models
- multitask learning
- hidden markov models
- learning problems
- markov random field
- higher order
- generative model
- high order
- transfer learning
- named entities
- pairwise
- structured prediction
- learning algorithm
- natural language processing
- markov networks
- semi supervised
- decision trees
- image classification
- multi class
- dependency parsing
- training data