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--- |
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tags: |
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- spacy |
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- token-classification |
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language: uk |
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datasets: |
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- ner-uk.2.0 |
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license: mit |
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model-index: |
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- name: uk_ner_web_trf_13class |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.8977982743 |
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- name: NER Recall |
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type: recall |
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value: 0.8860666569 |
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- name: NER F Score |
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type: f_score |
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value: 0.891893889 |
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widget: |
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- text: "Президент Володимир Зеленський пояснив, що наразі діалог із режимом Володимира путіна неможливий, адже агресор обрав курс на знищення українського народу. За словами Зеленського цей режим РФ виявляє неповагу до суверенітету і територіальної цілісності України." |
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--- |
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# uk_ner_web_trf_13class |
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## Model description |
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**uk_ner_web_trf_13class** is a fine-tuned [Roberta Large Ukrainian model](https://huggingface.co/benjamin/roberta-large-wechsel-ukrainian) that is ready to use for **Named Entity Recognition** and achieves a new **SoA** performance for the NER task for Ukrainian language. |
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It has a solid performance and has been trained to recognize **thirteen** types of entities: |
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- **ORG** — a name of a company, brand, agency, organization, institution (including religious, informal, non-profit), party, people's association, or specific project like a conference, a music band, a TV program, etc. Example: *UNESCO*. |
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- **PERS** — a person name where person may refer to humans, book characters, or humanoid creatures like vampires, ghosts, mermaids, etc. Example: *Marquis de Sade*. |
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- **LOC** — a geographical name, including names of districts, villages, cities, states, counties, countries, continents, rivers, lakes, seas, oceans, mountains, etc. Example: *Ukraine*. |
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- **MON** — a sum of money including the currency. Examples: *\$40, 1 mln hryvnias*. |
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- **PCT** — a percent value including the percent sign or the word "percent". Example: *10\%*. |
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- **DATE** — a full or incomplete calendar date that may include a century, a year, a month, a day. Examples: *last week, 10.12.1999*. |
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- **TIME** — a textual or numerical timestamp. Examples: *half past six, 18:30*. |
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- **PERIOD** — a time period, which may consist of two dates. Examples: *a few months, 2014-2015*. |
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- **JOB** — a job title. Examples: *member of parliament, ophthalmologist*. |
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- **DOC** — a unique name of a document, including names of contracts, orders, bills, purchases. Example: *procurement contract CW2244226*. |
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- **QUANT** — a quantity with the unit of measurement, such as weight, distance, size. Examples: *3 kilograms, a hundred miles*. |
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- **ART** (artifact) — a name of a human-made product, like a book, a song, a car, or a sandwich. Examples: *Mona Lisa, iPhone*. |
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- **MISC** — any other entity not covered in the list above, like nam*s of holidays, websites, battles, wars, sports events, hurricanes, etc. Example: *Black Friday*. |
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The model was fine-tuned on the [NER-UK 2.0 dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua). |
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Another transformer-based model **trained on 4 classes** for the SpaCy is available [here](https://huggingface.co/dchaplinsky/uk_ner_web_trf_best). |
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## Citation |
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TBA |
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Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [Mariana Romanyshyn](https://scholar.google.com/citations?user=yji2ZvIAAAAJ&hl=uk&oi=ao), [lang-uk project](https://lang.org.ua), 2024 |
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