Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning.
Peter AdolphsFeiyu XuHong LiHans UszkoreitPublished in: KI (2011)
Keyphrases
- rule learning
- relation extraction
- dependency graphs
- dependency trees
- domain specific
- parse tree
- information extraction
- automatic extraction
- subgroup discovery
- named entities
- semantic relations
- relational learning
- inductive logic programming
- natural language processing
- rule sets
- semantic role labeling
- named entity recognition
- tree kernels
- dependency graph
- semantic features
- inductive learning
- decision rules
- question answering
- decision trees
- dependency parser
- learning scheme
- general purpose
- machine learning
- hill climbing
- fuzzy rules
- learning classifier systems
- co occurrence
- information retrieval
- high level
- feature vectors
- domain knowledge
- support vector machine
- dependency parsing
- causal models