4 papers
Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization
Gerard Pons, Besim Bilalli, Anna Queralt
Many Knowledege Graphs (KGs) are frequently updated, forcing their Knowledge Graph Embeddings (KGEs) to adapt to these changes. To address this problem, continual learning techniqu…
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
Gerard Pons, Besim Bilalli, Anna Queralt
Recent advances in Large Language Models (LLMs) have positioned them as a prominent solution for Natural Language Processing tasks. Notably, they can approach these problems in a z…
Towards Continuous Experiment-driven MLOps
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos +5
Despite advancements in MLOps and AutoML, ML development still remains challenging for data scientists. First, there is poor support for and limited control over optimizing and evo…
Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs
Gerard Pons, Besim Bilalli, Anna Queralt
In today's data-driven world, the ability to extract meaningful information from data is becoming essential for businesses, organizations and researchers alike. For that purpose, a…