Multitask learning offers a promising avenue for improving representation learning, as it allows for the automation of discovering shared elements across various tasks. While there's skepticism about a universal representation for all NLP applications, the belief in a common language processing capability persists. Over time, different projects will capture unique aspects of semantics, leading to potential unification in the long run.
