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@@ -14,16 +14,14 @@ Here you can find DReAMy's models, tuned to analyse dream reports, as well as tw
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  DReAMy can be easily installed via `pip install dreamy` – we do recommend using a virtual env running python 3.9. Please refer to the git-repo for code, examples and tutorials. If you wish to test/query (a set of) DReAMy's model, try out a Space below.
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- Lastly, if you use a model in your work, please consider citing the pre-print.
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  ```bibtex
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  @misc{https://doi.org/10.48550/arxiv.2302.14828,
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  doi = {10.48550/ARXIV.2302.14828},
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  url = {https://arxiv.org/abs/2302.14828},
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  author = {Bertolini, Lorenzo and Elce, Valentina and Michalak, Adriana and Bernardi, Giulio and Weeds, Julie},
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- keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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  title = {Automatic Scoring of Dream Reports' Emotional Content with Large Language Models},
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  publisher = {arXiv},
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  year = {2023},
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- copyright = {Creative Commons Attribution 4.0 International}
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  }
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  ```
 
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  DReAMy can be easily installed via `pip install dreamy` – we do recommend using a virtual env running python 3.9. Please refer to the git-repo for code, examples and tutorials. If you wish to test/query (a set of) DReAMy's model, try out a Space below.
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+ Lastly, if you use a model in your work, please cite the pre-print.
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  ```bibtex
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  @misc{https://doi.org/10.48550/arxiv.2302.14828,
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  doi = {10.48550/ARXIV.2302.14828},
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  url = {https://arxiv.org/abs/2302.14828},
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  author = {Bertolini, Lorenzo and Elce, Valentina and Michalak, Adriana and Bernardi, Giulio and Weeds, Julie},
 
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  title = {Automatic Scoring of Dream Reports' Emotional Content with Large Language Models},
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  publisher = {arXiv},
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  year = {2023},
 
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  }
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  ```