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Dorottya Demszky

8 accepted papers

2025

CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments

ICASSP 2025accepted

Creating Automatic Speech Recognition (ASR) systems that are robust and resilient to classroom conditions is paramount to the development of AI tools to aid teachers and students. In this work, we study the efficacy of continued pretraining (CPT) in adapting Wav2vec2.0 to the classroom domain. We sh…

Cited by 0SourceScholar
2025

Tell, Don’t Show: Leveraging Language Models’ Abstractive Retellings to Model Literary Themes

ACL 2025finding

Conventional bag-of-words approaches for topic modeling, like latent Dirichlet allocation (LDA), struggle with literary text. Literature challenges lexical methods because narrative language focuses on immersive sensory details instead of abstractive description or exposition: writers are advised to…

2024

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

NAACL 2024long

Scaling high-quality tutoring remains a major challenge in education. Due to growing demand, many platforms employ novice tutors who, unlike experienced educators, struggle to address student mistakes and thus fail to seize prime learning opportunities. Our work explores the potential of large langu…

2024

Edu-ConvoKit: An Open-Source Library for Education Conversation Data

NAACL 2024system demonstrations

We introduce Edu-ConvoKit, an open-source library designed to handle pre-processing, annotation and analysis of conversation data in education. Resources for analyzing education conversation data are scarce, making the research challenging to perform and therefore hard to access. We address these ch…

2024

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations

EMNLP 2024finding

Many open-ended conversations (e.g., tutoring lessons or business meetings) revolve around pre-defined reference materials, like worksheets or meeting bullets. To provide a framework for studying such conversation structure, we introduce *Problem-Oriented Segmentation & Retrieval (POSR), the task of…

2023

“Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

EMNLP 2023long main

Teachers’ growth mindset supportive language (GMSL)—rhetoric emphasizing that one's skills can be improved over time—has been shown to significantly reduce disparities in academic achievement and enhance students' learning outcomes. Although teachers espouse growth mindset principles, most find it d…

Cited by 0SourceScholar
2021

Learning to Recognize Dialect Features

NAACL 2021long

Building NLP systems that serve everyone requires accounting for dialect differences. But dialects are not monolithic entities: rather, distinctions between and within dialects are captured by the presence, absence, and frequency of dozens of dialect features in speech and text, such as the deletion…

Cited by 50SourcePDFScholar
2021

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions

ACL 2021long

In conversation, uptake happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said. In education, teachers’ uptake of student contributions has been linked to higher student achievement. Yet measuring and imp…