7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Identifying Fairness Issues in Automatically Generated Testing Content
Kevin Stowe, Benny Longwill, Alyssa Francis +3
Natural language generation tools are powerful and effective for generating content. However, language models are known to display bias and fairness issues, making them impractical…
cs.CL2022
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…
cs.CL2020★ 7 cited
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
Goran Glavaš, Swapna Somasundaran
Breaking down the structure of long texts into semantically coherent segments makes the texts more readable and supports downstream applications like summarization and retrieval. S…