A Bootstrapping Approach for Training a NER with Conditional Random Fields.
Jorge TeixeiraLuís SarmentoEugénio C. OliveiraPublished in: EPIA (2011)
Keyphrases
- conditional random fields
- named entity recognition
- structured prediction
- information extraction
- supervised training
- sequence labeling
- probabilistic model
- graphical models
- maximum entropy
- restricted boltzmann machine
- hidden markov models
- text summarization
- generative model
- relation extraction
- random fields
- higher order
- crf model
- pairwise
- image labeling
- web page prediction
- named entities
- conditional likelihood
- markov random field
- training process
- superpixels
- structured learning
- segmentation method
- supervised learning
- error correcting output coding
- approximate inference
- graph cuts
- training set
- parameter learning
- question answering
- semi supervised
- machine learning