| ---
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| license: mit
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| ---
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| # StoryEmb
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| This is the model from [our paper](https://www.inf.uni-hamburg.de/en/inst/ab/lt/publications/2024-hatzel-et-al-emnlp.pdf) "Story Embeddings — Narrative-Focused Representations of Fictional Stories". We publish the variant trained on augmented data.
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| You can use this just like the base model [intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct).
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| We trained with the task prefix "Retrieve stories with a similar narrative to the given story: " so we recommand that you use this for story retrieval.
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| If you are interested in just the adapter weights (e.g. for continued fine-tuning), check out the directory `adapter-weights`.
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| Do not hestitate to reach out if you encounter any issues! You are likely one of the first few people actually downloading this :)
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| ## Citation
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| If you are making use of this model in your publication, please cite our paper:
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| ```
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| @inproceedings{hatzel-biemann-2024-story-embeddings,
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| title = "Story Embeddings -- Narrative-Focused Representations of Fictional Stories",
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| author = "Hatzel, Hans Ole and Biemann, Chris",
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| booktitle = "Proceedings of the 62st Annual Meeting of the Association for Computational Linguistics",
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| year = "2024",
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| address = "Miami, Florida",
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| publisher = "Association for Computational Linguistics",
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| }
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| ```
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