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Found 4 papers, 0 papers with code
Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
Unfortunately, when there is a lot of feedback from multiple sources, it can be difficult to distill the information into actionable insights.
Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy
This study contributes to the growing body of research on the use of AI models in educational contexts and highlights the potential of ChatGPT for facilitating analysis of student comments.
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
In this paper, we relax this strong assumption by a weaker distant supervision assumption to address the second issue and propose a novel sentence distribution estimator model to address the first problem.
Clustering-based Unsupervised Generative Relation Extraction
To address this issue, we propose a Clustering-based Unsupervised generative Relation Extraction (CURE) framework that leverages an "Encoder-Decoder" architecture to perform self-supervised learning so the encoder can extract relation information.
