README.md

---

license: mit
---


# StoryEmb

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.

You can use this just like the base model [intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct).
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.

If you are interested in just the adapter weights (e.g. for continued fine-tuning), check out the directory `adapter-weights`.

Do not hestitate to reach out if you encounter any issues! You are likely one of the first few people actually downloading this :)


## Citation

If you are making use of this model in your publication, please cite our paper:

```

@inproceedings{hatzel-biemann-2024-story-embeddings,

    title = "Story Embeddings -- Narrative-Focused Representations of Fictional Stories",

    author = "Hatzel, Hans Ole and Biemann, Chris",

    booktitle = "Proceedings of the 62st Annual Meeting of the Association for Computational Linguistics",

    year = "2024",

    address = "Miami, Florida",

    publisher = "Association for Computational Linguistics",

}

```