Search Results for author:
Found 4 papers, 4 papers with code
Autoregressive Score Generation for Multi-trait Essay Scoring
Recently, encoder-only pre-trained models such as BERT have been successfully applied in automated essay scoring (AES) to predict a single overall score.
Score-balanced Loss for Multi-aspect Pronunciation Assessment
With rapid technological growth, automatic pronunciation assessment has transitioned toward systems that evaluate pronunciation in various aspects, such as fluency and stress.
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring
Thus, predicting various trait scores of unseen-prompt essays (called cross-prompt essay trait scoring) is a remaining challenge of AES.
Hierarchical Pronunciation Assessment with Multi-Aspect Attention
In this paper, we propose a Hierarchical Pronunciation Assessment with Multi-aspect Attention (HiPAMA) model, which hierarchically represents the granularity levels to directly capture their linguistic structures and introduces multi-aspect attention that reflects associations across aspects at the same level to create more connotative representations.
