The Optimization of Portuguese Named-Entity Recognition and Classification by Combining Local Grammars and Conditional Random Fields Trained with a Parsed Corpus.
Diego AlvesBozo BekavacMarko TadicPublished in: NooJ (2020)
Keyphrases
- named entity recognition
- conditional random fields
- annotated corpus
- natural language processing
- information extraction
- sequence labeling
- classifier ensemble
- named entities
- maximum entropy
- text summarization
- markov random field
- probabilistic model
- higher order
- hidden markov models
- training set
- graphical models
- relation extraction
- semi supervised
- crf model
- generative model
- reference resolution
- pairwise
- svm classifier
- classification algorithm
- pos taggers
- machine learning
- feature extraction
- pos tagging
- feature selection
- named entity disambiguation
- segmentation method
- supervised learning
- support vector machine
- support vector
- class labels
- structured prediction
- semantic role labeling
- question answering
- model selection
- multi class
- feature space
- training data