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20212023
most citedAutomated Evaluation for Student Argumentative Writing: A Survey

8 citations · 24 across the 8 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 6 cited

Evaluating the Knowledge Dependency of Questions

Hyeongdon Moon, Yoonseok Yang, Jamin Shin +6

The automatic generation of Multiple Choice Questions (MCQ) has the potential to reduce the time educators spend on student assessment significantly. However, existing evaluation m…

cs.CL2022★ 8 cited

Automated Evaluation for Student Argumentative Writing: A Survey

Xinyu Wang, Yohan Lee, Juneyoung Park

This paper surveys and organizes research works in an under-studied area, which we call automated evaluation for student argumentative writing. Unlike traditional automated writing…

cs.CL2022★ 5 cited

GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering

Yoonseok Yang, Kyu Seok Kim, Minsam Kim +1

Content-based collaborative filtering (CCF) predicts user-item interactions based on both users' interaction history and items' content information. Recently, pre-trained language…

cs.CY2022

No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment

Suyeong An, Junghoon Kim, Minsam Kim +1

Student assessment is one of the most fundamental tasks in the field of AI Education (AIEd). One of the most common approach to student assessment is Knowledge Tracing (KT), which…

cs.CL2022

Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking

Jamin Shin, Hangyeol Yu, Hyeongdon Moon +2

Annotating task-oriented dialogues is notorious for the expensive and difficult data collection process. Few-shot dialogue state tracking (DST) is a realistic solution to this prob…