Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach.
Olga A. TarasovaAnastasia V. RudikNadezhda Yu. BiziukovaDmitry FilimonovVladimir PoroikovPublished in: J. Cheminformatics (2022)
Keyphrases
- bayes classifiers
- named entity recognition
- bayes classifier
- scientific publications
- text mining
- information extraction
- named entities
- natural language processing
- text documents
- metadata
- feature selection
- text summarization
- maximum entropy
- decision trees
- semi supervised
- conditional random fields
- naive bayes
- scientific literature
- natural language
- naive bayes classifier
- support vector machine
- probability density function
- linked data
- annotated corpus
- text classification
- information retrieval
- multi class
- wordnet
- structured data
- real world
- co occurrence
- artificial intelligence
- question answering
- text categorization
- incomplete data
- graphical models
- digital libraries
- machine learning
- data mining