Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models.
Guanqun YangShay DineenZhipeng LinXueqing LiuPublished in: CoRR (2021)
Keyphrases
- language model
- fine tuning
- named entity recognition
- pre trained
- information extraction
- named entities
- language modeling
- probabilistic model
- natural language processing
- conditional random fields
- text summarization
- maximum entropy
- n gram
- semi supervised
- training data
- query expansion
- speech recognition
- information retrieval
- document retrieval
- retrieval model
- training examples
- question answering
- query terms
- learning algorithm
- text mining
- control signals
- text classification
- graphical models
- multi modal
- higher order
- hidden markov models
- object recognition
- feature selection