Skip to content

Julie Weeds

3 papers in the library · 3 citations · publishing 2023-2025

Papers

Sort Most recent Most cited

Dreams are more “predictable” than you think

Frontiers in Sleep July 23, 2025 Lorenzo Bertolini, Sergio Consoli, Julie Weeds 2 citations

Introduction: A growing body of work has used machine learning and AI tools to analyse dream reports, and compare them to other textual content. Since these tools are usually trained on text from the web, researchers have speculated they might not be suited to model dreams reports, often labeled as "unusual" and "bizarre" content. Methods: We used a set of large language models (LLMs) to encode...

Automatic Annotation of Dream Report’s Emotional Content with Large Language Models

Workshop on Computational Linguistics and Clinical Psychology 2024 Lorenzo Bertolini, Valentina Elce, Adriana Michalak et al.

In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is classically performed through manual scoring provided by trained annotators, at a great time expense. While a consistent body of work suggests that natural language processing (NLP) tools can support the automatic...

Automatic Scoring of Dream Reports' Emotional Content with Large Language Models

arXiv (Cornell University) February 28, 2023 Lorenzo Bertolini, Valentina Elce, Adriana Michalak et al. 1 citation

In the field of dream research, the study of dream content typically relies on the analysis of verbal reports provided by dreamers upon awakening from their sleep. This task is classically performed through manual scoring provided by trained annotators, at a great time expense. While a consistent body of work suggests that natural language processing (NLP) tools can support the automatic...