While it is widely accepted that Deep Learning (DL) techniques are superior to rule-based and knowledge-based ones, this 4-year project will seek to establish formally through proper evaluations spanning different datasets whether DL always performs better and if not, in what circumstances. In addition, the project will seek to find answers as to how to boost the performance of the successful DL-based applications even further. The study will examine different NLP tasks/applications and to the best of our knowledge will be the first study to establish the extent to which DL guarantees improvement over rule-based methods and whether combining DL methods with various techniques, models and resources, would offer further improvements.
Given the emergence and pervasive employment of Large Language Models, the project will experiment with Large Language Models as additional methodology and will compare them with Deep Learning and rule-based methods.
This GenT 4-year project funded by the Valencian Regional Government is expected to show the best way forward for future NLP research and what would be the ‘route’ to increased performance.