1 code implementation • 28 Nov 2022 • Kevin Stowe, Debanjan Ghosh, Mengxuan Zhao
This work aims to employ natural language generation (NLG) to rapidly generate items for English language learning applications: this requires both language models capable of generating fluent, high-quality English, and to control the output of the generation to match the requirements of the relevant items.
no code implementations • 28 Oct 2022 • Sophia Chan, Swapna Somasundaran, Debanjan Ghosh, Mengxuan Zhao
We describe the AGReE system, which takes user-submitted passages as input and automatically generates grammar practice exercises that can be completed while reading.