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Updated paper ref

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  1. README.md +13 -6
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  The model is a full-text frame parser for events in Italian and it has been trained on [EventNet-ITA](https://huggingface.co/datasets/mrovera/eventnet-ita).
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  The model can be used for _full-text_ Frame Parsing and Event Extraction.
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- Please refer to the [paper](https://arxiv.org/abs/2305.10892) for a more detailed description.
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  ## Model Details
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  If you use EventNet-ITA, please cite the following paper:
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  ```
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- @article{rovera2023eventnet,
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- title={EventNet-ITA: Italian Frame Parsing for Events},
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- author={Rovera, Marco},
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- journal={arXiv preprint arXiv:2305.10892},
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- year={2023}
 
 
 
 
 
 
 
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  }
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  ```
 
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  The model is a full-text frame parser for events in Italian and it has been trained on [EventNet-ITA](https://huggingface.co/datasets/mrovera/eventnet-ita).
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  The model can be used for _full-text_ Frame Parsing and Event Extraction.
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+ Please refer to the [paper](https://aclanthology.org/2024.latechclfl-1.9) for a more detailed description.
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  ## Model Details
 
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  If you use EventNet-ITA, please cite the following paper:
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  ```
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+ @inproceedings{rovera-2024-eventnet,
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+ title = "{E}vent{N}et-{ITA}: {I}talian Frame Parsing for Events",
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+ author = "Rovera, Marco",
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+ editor = "Bizzoni, Yuri and
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+ Degaetano-Ortlieb, Stefania and
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+ Kazantseva, Anna and
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+ Szpakowicz, Stan",
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+ booktitle = "Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)",
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+ year = "2024",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2024.latechclfl-1.9",
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+ pages = "77--90",
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  }
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  ```