Models for multi-label classification
AI & ML interests
NLP for dream reports analysis and annotation.
Organization Card
Models and datasets used in DReAMy
.
For more details on the models' training and evaluation procedure, and overall results, see Bertolini et al., 24 EACL CLPsych workshop paper, and Bertolini et al., 2024 Sleep Medice abstract.
If you use our models in your research, please cite us as:
@article{BERTOLINI2024406,
title = {DReAMy: a library for the automatic analysis and annotation of dream reports with multilingual large language models},
journal = {Sleep Medicine},
volume = {115},
pages = {406-407},
year = {2024},
note = {Abstracts from the 17th World Sleep Congress},
issn = {1389-9457},
doi = {https://doi.org/10.1016/j.sleep.2023.11.1092},
url = {https://www.sciencedirect.com/science/article/pii/S1389945723015186},
author = {L. Bertolini and A. Michalak and J. Weeds}
}
models
7
DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char
Text2Text Generation
•
Updated
•
11
DReAMy-lib/t5-base-DreamBank-Generation-NER-Char
Text2Text Generation
•
Updated
•
36
•
1
DReAMy-lib/bert-base-cased-DreamBank-emotion-presence
Text Classification
•
Updated
•
41
DReAMy-lib/t5-base-DreamBank-Generation-Act-Char
Text2Text Generation
•
Updated
•
51
•
1
DReAMy-lib/DB-custom-architecture
Updated
DReAMy-lib/t5-base-DreamBank-Generation-Emot-EmotNn
Text2Text Generation
•
Updated
•
10
DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence
Text Classification
•
Updated
•
41