
This is the evaluation material associated with our EMSE paper, titled "A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs".
The General Data Protection Regulation (GDPR), Data Processing Agreements (DPAs), Requirements Engineering (RE), Large Language Models (LLMs), Regulatory Compliance, Artificial Intelligence (AI), Natural Language Processing (NLP), Few-shot Learning (FSL), Classification, Data Augmentation
The General Data Protection Regulation (GDPR), Data Processing Agreements (DPAs), Requirements Engineering (RE), Large Language Models (LLMs), Regulatory Compliance, Artificial Intelligence (AI), Natural Language Processing (NLP), Few-shot Learning (FSL), Classification, Data Augmentation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
