25 citations
5 papers
Context Matters: A Strategy to Pre-train Language Model for Science Education
Zhengliang Liu, Xinyu He, Lei Liu +2
This study aims at improving the performance of scoring student responses in science education automatically. BERT-based language models have shown significant superiority over tra…
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach
Debanjan Ghosh, Beata Beigman Klebanov, Yi Song
We present a computational exploration of argument critique writing by young students. Middle school students were asked to criticize an argument presented in the prompt, focusing…
Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog
Vikram Ramanarayanan, Matthew Mulholland, Debanjan Ghosh
An important step towards enabling English language learners to improve their conversational speaking proficiency involves automated scoring of multiple aspects of interactional co…
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…
Model Criticism of Bayesian Networks with Latent Variables
David M. Williamson, Russell Almond, Robert Mislevy
The application of Bayesian networks (BNs) to cognitive assessment and intelligent tutoring systems poses new challenges for model construction. When cognitive task analyses sugges…