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A Semiotics-Aware Framework for Evaluating Fidelity and Coverage in Natural Language Generation

Paper recorded by Signals 4 on 2026-09-22 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.CL · 自然语言处理 · first seen 2026-09-23

Abstract

When two texts describe the same expression, standard metrics based on lexical overlap or whole-text similarity may fail to detect meaningful differences in how that expression is framed. We propose a framework to evaluate semiotic alignment between texts, where a semiotic profile encompasses both the contextual meaning and the discourse references made salient by a text. Our approach yields two s

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#11 most recent of 227 cs.CL papers we have recorded · ↑ newer: Transcribe, Translate, and Optimize: Joint Reward Learning for Speech · ↓ older: Calibration as a First-Class Criterion in LLM Evaluation
Cite this page: A Semiotics-Aware Framework for Evaluating Fidelity and Coverage in Natural Language Generation: the #11 most recent of 227 cs.CL papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-semiotics-aware-framework-for-evaluating-fidelity-and-coverage-in-natural-lang.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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