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--- |
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language: it |
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license: cc-by-sa-4.0 |
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multilinguality: monolingual |
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task_categories: |
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- token-classification |
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tags: |
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- Frame Parsing |
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- Event Extraction |
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--- |
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# EventNet-ITA - Dataset |
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## Dataset Description |
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### Dataset Summary |
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EventNet-ITA is a textual dataset annotated _full-text_ with semantic frames in Italian. It can be used to train multi-label models for Frame Parsing or Event Extraction. The schema consists of 205 semantic frames (and relative frame elements) and covers different macro-domains, like conflictual, social, communication, legal, geopolitical, economic and biographical events, among others. The dataset counts 53,843 annotated sentences and over 1,583,000 tokens. |
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For more details, please refer to the [paper](https://aclanthology.org/2024.latechclfl-1.9/). |
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If you want to requests the full documentation of the resource (guidelines, detailed frame-level description, lexical units and annotation examples), please fill out [this form](https://forms.gle/qAgZsf4La9qdzETn6) or email [the author](mailto:[email protected]). |
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### Annotation Process |
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EventNet-ITA has been annotated at token level, adopting the IOB2 style. |
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The annotation is full-text, i.e., for each sentence any frame mention and all relative frame elements (provided in the schema) are annotated. |
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Example: |
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``` |
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La O B-EVENT O |
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costruzione B-BUILDING I-EVENT O |
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della B-CREATED_ENTITY I-EVENT O |
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fortificazione I-CREATED_ENTITY I-EVENT O |
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alvitana I-CREATED_ENTITY I-EVENT O |
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risale O B-TEMPORAL_ORIGIN O |
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dunque O O O |
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all' O B-ORIGIN O |
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epoca O I-ORIGIN O |
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dell' O I-ORIGIN O |
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invasione O I-ORIGIN B-INVADING |
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normanna O I-ORIGIN B-INVADER |
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. O O O |
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``` |
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By convention, in the dataset frame elements are represented as a concatenation of their label name with the name of the corresponding frame. For example, the `CREATED_ENTITY` frame element, associated to the `BUILDING` frame, will be represented as `CREATED_ENTITY*BUILDING`. |
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### Data format |
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The dataset is formatted as a two-column tsv. The first column contains the token, the second column contains all corresponding labels (both frames and frame elements), separated by `|`. This format makes the dataset ready-to-train with the MaChAmp [multi-sequence](https://github.com/machamp-nlp/machamp/blob/master/docs/multiseq.md) task type. Please see the [model page](https://huggingface.co/mrovera/eventnet-ita) for more details about training. |
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### Data Split |
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For the sake of reproducibility, the three folds used in the paper are provided. |
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The data split follows a 80/10/10 ratio and has been created in a stratified way. This means each train/dev/test set contains the same relative distribution of (frame) classes. |
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## Additional Information |
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### Licensing Information |
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The EventNet-ITA dataset is released under the CC-BY-SA-4.0 License. |
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### Citation Information |
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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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pages = "77--90", |
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} |
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``` |
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