Dependency Analysis

Dependency analysis investigates how different components of a system relate to each other, aiming to understand and optimize these relationships. Current research focuses on improving the ability of models like Transformers to capture complex dependencies, particularly long-range ones, and on developing efficient algorithms for analyzing dependencies in various contexts, including rule-based ontologies and Boolean formulas. This work has significant implications for improving the performance and efficiency of machine learning systems, software engineering, and knowledge representation, as well as providing insights into cognitive processes like language understanding.