Adapting NER (CRF+LG) for Many Textual Genres.
Juliana P. C. PirovaniJames AlvesMarcos SpalenzaWesley SilvaCristiano da Silveira ColomboElias OliveiraPublished in: IberLEF@SEPLN (2019)
Keyphrases
- conditional random fields
- named entity recognition
- maximum entropy
- information extraction
- graphical models
- named entities
- crf model
- random fields
- hidden markov models
- sequence labeling
- natural language processing
- probabilistic model
- natural language
- pairwise
- higher order
- markov random field
- keywords
- genre classification
- named entity disambiguation
- semi supervised
- generative model
- text summarization
- multimedia
- parameter learning
- semantic segmentation
- annotated corpus
- human generated
- metadata
- superpixels
- active contours
- fully connected
- relation extraction
- textual information
- data mining
- supervised learning
- expert systems
- object recognition
- information retrieval