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nlg evaluation

Evaluate the generated text by NLG (Natural Language Generation) systems, like large language models

Papers

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Showing 51–71 of 71 papers

TitleStatusHype
A Survey of Natural Language Generation—0
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation—0
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationCode1
Perturbation CheckLists for Evaluating NLG Evaluation MetricsCode0
Language Model Augmented Relevance Score—0
All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—0
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation—0
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—0
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons—0
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation—0
A Tutorial on Evaluation Metrics used in Natural Language Generation—0
A Study of Automatic Metrics for the Evaluation of Natural Language ExplanationsCode0
Evaluation rules! On the use of grammars and rule-based systems for NLG evaluation—0
A Survey of Evaluation Metrics Used for NLG Systems—0
Evaluation of Text Generation: A Survey—0
Agreement is overrated: A plea for correlation to assess human evaluation reliability—0
The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations—0
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts—0
Why We Need New Evaluation Metrics for NLGCode0
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation—0
A Snapshot of NLG Evaluation Practices 2005 - 2014—0
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