Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing.
Saike HeXiaojie WangYuan DongTaozheng ZhangXue BaiPublished in: PACLIC (2009)
Keyphrases
- multi task learning
- semantic parsing
- conditional random fields
- question answering
- named entity recognition
- information extraction
- learning models
- semantic role labeling
- natural language processing
- multi task
- semantic roles
- named entities
- dependency parsing
- learning tasks
- relation extraction
- gaussian processes
- high order
- hidden markov models
- probabilistic model
- graphical models
- multitask learning
- information retrieval
- maximum entropy
- learning problems
- transfer learning
- markov random field
- higher order
- natural language
- machine learning
- learning algorithm
- text mining
- structured prediction
- pairwise
- generative model
- wordnet
- word sense disambiguation
- training data