activity
20212023
most citedShort-answer scoring with ensembles of pretrained language models

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

Argumentation Element Annotation Modeling using XLNet

Christopher Ormerod, Amy Burkhardt, Mackenzie Young +1

This study demonstrates the effectiveness of XLNet, a transformer-based language model, for annotating argumentative elements in persuasive essays. XLNet's architecture incorporate…

cs.CL2023

Using language models in the implicit automated assessment of mathematical short answer items

Christopher Ormerod

We propose a new way to assess certain short constructed responses to mathematics items. Our approach uses a pipeline that identifies the key values specified by the student in the…

cs.CL2023★ 2 cited

Using Language Models to Detect Alarming Student Responses

Christopher M. Ormerod, Milan Patel, Harry Wang

This article details the advances made to a system that uses artificial intelligence to identify alarming student responses. This system is built into our assessment platform to as…

cs.CL2022★ 6 cited

Short-answer scoring with ensembles of pretrained language models

Christopher Ormerod

We investigate the effectiveness of ensembles of pretrained transformer-based language models on short answer questions using the Kaggle Automated Short Answer Scoring dataset. We…

cs.CL2021★ 1 cited

The effects of data size on Automated Essay Scoring engines

Christopher Ormerod, Amir Jafari, Susan Lottridge +3

We study the effects of data size and quality on the performance on Automated Essay Scoring (AES) engines that are designed in accordance with three different paradigms; A frequenc…