Learning by Prediction and Integration: Human-inspired Approaches for Natural Language Understanding KU Leuven
Giving machines the skills to represent and understand natural language for applications in the real world presents a significant challenge in the area of Natural Language Processing. Pre-trained language models based on neural networks have recently achieved outstanding performance in several natural language understanding tasks. Although effective, these models lack certain abilities humans possess to understand text. For example, as we ...