Springer Nature OA
open access
Argument Quality Assessment
artificial-intelligencecomputational-linguisticscomputer-sciencedata-mining-and-knowledge-discoverynatural-language-processing-nlpstatistics
In some sense, the question about the quality of an argument is the ‘ultimate’ one for argument mining. Being able to reconstruct argumentative structures from a text (Chaps. 4 – 5 ) and learning about the perspectives that arguments convey toward a topic (Chap. 6 ) lays the ground to make arguments
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry Approach#819377
- Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry Approach#809384
- Argumentative reasoning patterns#776177
- Designing and Analysing Argument Mining Pipelines: Towards a Comprehensive Assessment#1062235
- Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling#747515
Record · ID 1374646
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive