Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers.
Dominika TkaczykAndrew CollinsParaic SheridanJöran BeelPublished in: JCDL (2018)
Keyphrases
- open source
- machine learning
- case study
- machine learning methods
- association rules
- natural language processing
- artificial intelligence
- computer vision
- pattern recognition
- supervised learning
- text mining
- knowledge acquisition
- source code
- learning classifier systems
- classification rules
- text classification
- learning algorithm
- neural network
- digital libraries
- machine learning algorithms
- learning systems
- decision rules
- training data
- inductive logic programming
- inductive learning
- evaluation method
- metadata
- context free grammars
- citation analysis