… a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple naturallanguageunderstanding (… the NLU tasks defined in the GLUEbenchmark as examples. …
… benchmark styled after GLUE with a new set of more difficult … , we expect that further progress in multi-task, transfer, and … A unified architecture for naturallanguageprocessing: Deep …
… across a wide range of naturallanguageunderstanding (NLU) tasks, … benchmark is still missing. In this paper, we present Adversarial GLUE (AdvGLUE), a new multi-taskbenchmark to …
X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa… - arXiv preprint arXiv …, 2020 - arxiv.org
… -DNN customization for three representative biomedical naturallanguageunderstanding tasks: … Glue: A multi-taskbenchmark and analysisplatform for naturallanguageunderstanding. …
N Nangia, SR Bowman - arXiv preprint arXiv:1905.10425, 2019 - arxiv.org
… 2019b) is a suite of languageunderstanding tasks which has … GLUE is built around nine sentence-level naturallanguage … because it employs a multi-task learning approach which fine-…
… multi-task learning across all 9 GLUE tasks is the Multi-Task … -depth analysis to the most recent multi-taskbenchmarks with … prime research opportunities to understand better the tasks …
… Levy, and SR Bowman, "GLUE: A multi-taskbenchmark and analysisplatform for natural languageunderstanding," arXiv, pp. 1-20, 2018. [81] Alex Wang, et al., SuperGLUE: A Stickier …