… approach based entirely on Minimal Recursion Semantics representation without templates
or … previously introduced neural QG models for standalone question generation with answer …

… , including sentiment analysis, news categorization, question … where the comprehension of
long-range semantics is required, … NLP problems into a text-to-text format. They also conduct a …

… text-to-text format to pre-train the text generation model MVP … and paragraph for question
generation. The transformed input … learns generation ability but also improves overall semantic …

… ideal question generation process, we only observe the question-… IMDb is a binary sentiment
analysis dataset consisting of … encoders from pretrained text-to-text models. In Findings of …

… FIT and facilitate in-depth analysis, we present the NLP Few-… NLP datasets and converted
to a unified text-to-text format. Our … Due to the large size of pre-trained text-to-text models, we …

… 2018) further extended this work to question generation. … Exploring the limits of transfer
learning with a unified text-to-text … a sentiment treebank. In Proceedings of the 2013 conference …

… models on their data to solve industry use cases. These include applications such as chatbots,
sentiment analysis … Exploring the limits of transfer learning with a unified text-to-text trans- …

… a sentiment analysis instance x, Polyjuice1generates (B) various counterfactuals x, which are
then (C… predictions for explanation or analysis, with no constraints on semantics. However, …

… into a QA format and model synthetic training data generation for these tasks as context
generation. • We perform experiments on multiple sentiment analysis and topic classification …

… , Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive deep
models for semantic compositionality over a sentiment treebank. In Proceedings of the 2013 …