Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing.
Ashkan EbadiPengcheng XiStéphane TremblayBruce SpencerRaman PallAlexander WongPublished in: CoRR (2020)
Keyphrases
- temporal evolution
- machine learning
- natural language processing
- information extraction
- computational linguistics
- computational biology
- temporal information
- text mining
- knowledge representation
- feature engineering
- non stationary
- machine learning methods
- wordnet
- natural language
- explanation based learning
- text processing
- knowledge acquisition
- named entity recognition
- word sense disambiguation
- pattern recognition
- feature selection
- inductive logic programming
- neural network
- language processing
- speech processing
- learning systems
- active learning
- data sets
- data mining
- artificial intelligence
- domain knowledge
- computational intelligence
- semantic relations
- low level
- free text
- statistical methods
- question answering
- part of speech
- keywords
- knowledge base
- computer vision
- text classification
- learning algorithm
- ontology learning
- dynamic networks
- semi supervised learning
- machine learning algorithms