One of the fantastic qualities of embedding based language models is that they provide a view on a semantic space that can be used quantitatively in most any downstream language task. As a conversational intelligence…
In this work we didn't explore classification performance characteristics. I suspect the nature of the misclassification at lower levels of domain data would revolve around the ways language usage differs in reviews vs…
I think in this case the alignment between unlabeled domain data and the language task supports a convergence in language task performance. One argument to continue to prefer the ULM+domain model is that it is likely…
Yes, great insight! The choice to focus on sentiment here was mainly to align with fast.ai’s original research—-hopefully maximizing the generalizability and accessibility of the results. Internally we have made use of…
Author here! Happy to answer any questions that folks have.
One of the fantastic qualities of embedding based language models is that they provide a view on a semantic space that can be used quantitatively in most any downstream language task. As a conversational intelligence…
In this work we didn't explore classification performance characteristics. I suspect the nature of the misclassification at lower levels of domain data would revolve around the ways language usage differs in reviews vs…
I think in this case the alignment between unlabeled domain data and the language task supports a convergence in language task performance. One argument to continue to prefer the ULM+domain model is that it is likely…
Yes, great insight! The choice to focus on sentiment here was mainly to align with fast.ai’s original research—-hopefully maximizing the generalizability and accessibility of the results. Internally we have made use of…
Author here! Happy to answer any questions that folks have.