Manual Identification of Arguments with Implicit Conclusions Using Semantic Rules for Argument Mining.
Nancy L. GreenPublished in: ArgMining@EMNLP (2017)
Keyphrases
- argumentation schemes
- association rule mining
- rule mining
- positive and negative association rules
- peculiarity oriented mining
- interesting association rules
- association rules
- rule generation
- argumentation systems
- mining algorithm
- error prone
- mining association rules
- argumentation frameworks
- knowledge discovery
- semi automatic
- apriori algorithm
- discovered rules
- data mining
- legal argument
- semantic web
- supreme court
- fuzzy association rules
- logical representation
- abstract argumentation
- weighted association rules
- logic based argumentation
- semantic information
- semantic knowledge
- web mining
- rules discovered
- itemsets
- case based reasoning
- practical reasoning
- sequential patterns
- frequent itemsets
- decision rules
- actionable knowledge
- text mining
- syntactic structures
- natural language
- semantic constraints
- high level
- rule discovery
- knowledge base
- legal cases
- legal knowledge
- rule sets
- semantic similarity
- data mining tools
- legal reasoning