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Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach

Paper recorded by Signals 4 on 2026-08-30 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CL · 自然语言处理 · first seen 2026-09-01

Abstract

Semantic alignment between specialized normative texts is challenging when equivalent requirements use different terms, syntax, and levels of abstraction. Lexical overlap, distributional embeddings, and semantic similarity capture topical relatedness but often miss the argumentative structure by which normative claims are supported, qualified, and justified. This paper asks whether explicit argume

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#170 most recent of 186 cs.CL papers we have recorded · ↑ newer: OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Att · ↓ older: A Formal Limitation on Learning Human Language From Textual Corpora
Cite this page: Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach: the #170 most recent of 186 cs.CL papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/argument-aware-semantic-alignment-of-normative-texts-a-toulmin-based-neuro-symbo.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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