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Found 8 papers, 0 papers with code
Model Generation from Requirements with LLMs: an Exploratory Study
Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design.
A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs
Our evaluation shows that best-performing solutions yield F2 score of 86. 7% and 89. 7% are based on pre-trained BERT and RoBERTa language models.
Legal Requirements Analysis
Specifically, we describe possible alternatives for creating machine-analyzable representations from regulations, survey the existing automated means for enabling compliance verification against regulations, and further reflect on the current challenges of legal requirements analysis.
TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements
We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaphora resolution in requirements.
AI-enabled Automation for Completeness Checking of Privacy Policies
A prerequisite for GDPR compliance checking is to verify whether the content of a privacy policy is complete according to the provisions of GDPR.
Parameter Transfer across Domains for Word Sense Disambiguation
Word sense disambiguation is defined as finding the corresponding sense for a target word in a given context, which comprises a major step in text applications.
Metaheuristic Approaches to Lexical Substitution and Simplification
In this paper, we propose using metaheuristics{---}in particular, simulated annealing and the new D-Bees algorithm{---}to solve word sense disambiguation as an optimization problem within a knowledge-based lexical substitution system.
D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving Word Sense Disambiguation
Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context.
