Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media.
Vasile PaisMaria MitrofanPublished in: SMM4H@NAACL-HLT (2021)
Keyphrases
- named entity recognition
- social media
- health related
- information extraction
- named entities
- natural language processing
- text summarization
- conditional random fields
- annotated corpus
- co occurrence
- maximum entropy
- semi supervised
- public health
- maximum entropy classifier
- question answering
- named entity recognizer
- feature selection
- social networks
- n gram
- clinical data
- dimensionality reduction
- higher order
- older adults
- supervised learning
- learning process