9 citations · 28 across the 15 of their papers we have counts for
4 papers · 1 filter
Controlled Language Generation for Language Learning Items
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 gener…
AGReE: A system for generating Automated Grammar Reading Exercises
Sophia Chan, Swapna Somasundaran, Debanjan Ghosh +1
We describe the AGReE system, which takes user-submitted passages as input and automatically generates grammar practice exercises that can be completed while reading. Multiple-choi…
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
We propose a type-controlled framework for inquisitive question generation. We annotate an inquisitive question dataset with question types, train question type classifiers, and fi…
FLUTE: Figurative Language Understanding through Textual Explanations
Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh +1
Figurative language understanding has been recently framed as a recognizing textual entailment (RTE) task (a.k.a. natural language inference, or NLI). However, similar to classical…