3 papers
cs.CL2025
Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models
Durgesh Nandini, Rebekka Koch, Mirco Schoenfeld
This study investigates the effectiveness of Large Language Models (LLMs) for the extraction of structured knowledge in the form of Subject-Predicate-Object triples. We apply the s…
cs.LG2024
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
Durgesh Nandini, Simon Bloethner, Mirco Schoenfeld +1
Understanding the complex dynamics of high-dimensional, contingent, and strongly nonlinear economic data, often shaped by multiplicative processes, poses significant challenges for…
cs.IR2024
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
Oliver Baumann, Durgesh Nandini, Anderson Rossanez +2
Traditional recommendation proposals, including content-based and collaborative filtering, usually focus on similarity between items or users. Existing approaches lack ways of intr…