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.
It should be noted that this evolution does not represent a simple replacement of earlier methods by later ones, but rather a shift in research focus and technological mainstream
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.