Identification of Decision Rules from Legislative Documents Using Machine Learning and Natural Language Processing.
Maximilian MichelDjordje DjuricaJan MendlingPublished in: HICSS (2022)
Keyphrases
- decision rules
- machine learning
- natural language processing
- free text
- decision trees
- information extraction
- rough sets
- portuguese language
- text documents
- text mining
- positive and negative
- document collections
- rough set theory
- rule induction
- feature engineering
- computational linguistics
- information retrieval
- computational biology
- textual data
- rule learning
- statistical decision theory
- decision table
- rough set model
- text processing
- natural language
- artificial intelligence
- rule sets
- pattern recognition
- xml documents
- attribute oriented
- learning problems
- machine translation
- machine learning algorithms
- text classification
- wordnet
- knowledge representation
- support vector machine
- information retrieval systems
- named entity recognition
- data analysis
- keywords
- named entities
- dominance relation
- rough sets theory
- rule induction algorithm
- text summarization
- inductive learning
- word sense disambiguation
- semantic relations
- neural network
- semantic information
- supervised learning
- active learning
- feature selection
- data mining