Legal argument mining advances slowly because no structured way exists to represent arguments that balances rich legal theory with what computers can process, creating dilemmas in data standardization, modeling, and domain adaptation.
However, the identification of legal argumentative elements and argumentative structures requires a deeper understanding of the relations among different components
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Structural Dilemmas and Developmental Pathways of Legal Argument Mining in the Era of Artificial Intelligence
Legal argument mining advances slowly because no structured way exists to represent arguments that balances rich legal theory with what computers can process, creating dilemmas in data standardization, modeling, and domain adaptation.