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Simon Woodhead

4 accepted papers

2025

PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues

EMNLP 2025

Personally identifiable information (PII) anonymization is a high-stakes task that poses a barrier to many open-science data sharing initiatives. While PII identification has made large strides in recent years, in practice, error thresholds and the recall/precision trade-off still limit the uptake o

2024

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions

EMNLP 2024main

High-quality distractors are crucial to both the assessment and pedagogical value of multiple-choice questions (MCQs), where manually crafting ones that anticipate knowledge deficiencies or misconceptions among real students is difficult. Meanwhile, automated distractor generation, even with the hel…

2024

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

NAACL 2024findings

Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in assessments and practices. One of the most important aspects of MCQs is the distractors, i.e., incorrect options that are designed to target common…

2022

Simultaneous Missing Value Imputation and Structure Learning with Groups

NeurIPS 2022accept

Learning structures between groups of variables from data with missing values is an important task in the real world, yet difficult to solve. One typical scenario is discovering the structure among topics in the education domain to identify learning pathways. Here, the observations are student perfo…

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