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  We present GoLLIE, a Large Language Model trained to follow annotation guidelines. GoLLIE outperforms previous approaches on zero-shot Information Extraction and allows the user to perform inferences with annotation schemas defined on the fly. Different from previous approaches, GoLLIE is able to follow detailed definitions and does not only rely on the knowledge already encoded in the LLM.
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- - 💻 Code: [https://github.com/osainz59/CoLLIE/](https://github.com/osainz59/CoLLIE/)
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- - 📒 Blog Post: [GoLLIE: Guideline-following Large Language Model for Information Extraction](docs/index.md)
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- - 📖 Paper: [GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction]()
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- - GoLLIE Colection in the 🤗HuggingFace Hub: [HiTZ/gollie](https://huggingface.co/collections/HiTZ/gollie-651bf19ee315e8a224aacc4f)
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- - 🚀 Example Jupyter Notebooks: [GoLLIE Notebooks](notebooks/)
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  </p>
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  ### Training Data
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  This is the list of task used for training and evaluating GoLLIE. However, as demonstrated in the 🚀 [Create Custom Task notebook](https://github.com/hitz-zentroa/GoLLIE/blob/main/notebooks/Create%20Custom%20Task.ipynb) GoLLIE can perform a wide range of unseen tasks.
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- For more info, read our [📖Paper]().
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  <img src="https://github.com/hitz-zentroa/GoLLIE/raw/main/assets/datasets.png">
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- ## Citation
 
 
 
 
 
 
 
 
 
 
 
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  <p align="justify">
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  We present GoLLIE, a Large Language Model trained to follow annotation guidelines. GoLLIE outperforms previous approaches on zero-shot Information Extraction and allows the user to perform inferences with annotation schemas defined on the fly. Different from previous approaches, GoLLIE is able to follow detailed definitions and does not only rely on the knowledge already encoded in the LLM.
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+ - 💻 Code: [https://github.com/osainz59/CoLLIE/](https://github.com/hitz-zentroa/GoLLIE)
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+ - 📒 Blog Post: [GoLLIE: Guideline-following Large Language Model for Information Extraction](https://hitz-zentroa.github.io/GoLLIE/)
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+ - 📖 Paper: [GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction](https://arxiv.org/abs/2310.03668)
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+ - 🐕 GoLLIE Colection in the 🤗HuggingFace Hub: [HiTZ/gollie](https://huggingface.co/collections/HiTZ/gollie-651bf19ee315e8a224aacc4f)
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+ - 🚀 Example Jupyter Notebooks: [GoLLIE Notebooks](https://github.com/hitz-zentroa/GoLLIE/tree/main/notebooks)
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  </p>
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  <p align="center">
 
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  ### Training Data
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  This is the list of task used for training and evaluating GoLLIE. However, as demonstrated in the 🚀 [Create Custom Task notebook](https://github.com/hitz-zentroa/GoLLIE/blob/main/notebooks/Create%20Custom%20Task.ipynb) GoLLIE can perform a wide range of unseen tasks.
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+ For more info, read our [📖Paper](https://arxiv.org/abs/2310.03668).
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  <p align="center">
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  <img src="https://github.com/hitz-zentroa/GoLLIE/raw/main/assets/datasets.png">
 
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+ ## Citation
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+ ```
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+ @misc{sainz2023gollie,
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+ title={GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction},
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+ author={Oscar Sainz and Iker García-Ferrero and Rodrigo Agerri and Oier Lopez de Lacalle and German Rigau and Eneko Agirre},
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+ year={2023},
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+ eprint={2310.03668},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```