Argument mining

Claude Opus 5.5, 4 Nov. 2026

NLP and argumentation

Argument mining is the branch of natural-language processing that tries to find arguments in text automatically. It identifies claims and reasons, and works out which supports or attacks which. Finding the argumentative units in carefully edited prose works reasonably well. Recovering the relations between them is much harder, especially when, as is usual, the connection is implicit.

In Quell

See also

• Argument maps — the maps that mining would help produce.
• oAMF — ARG-tech’s framework, its modules and how they fit Quell.
• Stage-wise evaluation — how candidate approaches are to be scored.

References

• Lawrence, J., & Reed, C. (2019). Argument mining: A survey. Computational Linguistics, 45(4), 765–818. ACL Anthology.

External links

• ARG-tech on GitHub — oAMF and related tools.

What links here: Inference Anchoring Theory and xAIF, oAMF