Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models.
Mercedes Argüello CasteleiroNava MarotoChris WroeC. Sevillano TorradoC. HensonJose Julio Des DizMaria Jesus Fernandez PrietoThomas FurmstonDiego Maseda-FernandezM. KulshresthaRobert StevensJohn A. KeaneSimon PetersPublished in: SGAI Conf. (2021)
Keyphrases
- named entity recognition
- relation extraction
- named entities
- information extraction
- active learning
- named entity recognizer
- semi supervised
- natural language processing
- natural language text
- automatic extraction
- annotated corpus
- conditional random fields
- co occurrence
- domain specific
- maximum entropy
- reference resolution
- question answering
- semantic relations
- semantic role labeling
- text mining
- text summarization
- semantic features
- noun phrases
- information retrieval
- probabilistic model
- prior knowledge
- model selection
- word sense disambiguation
- graphical models
- dimensionality reduction
- general purpose
- learning process
- object recognition
- high level
- artificial intelligence