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README.md
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## City-Country-NER
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A `bert-base-uncased` model finetuned on a custom dataset to detect `Country` and `City` names from a given sentence.
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### Custom Dataset
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We weakly supervised the
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The model predicts 3 different tags:
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---
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language:
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- en
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tags:
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- token-classification
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- address-NER
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- NER
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- bert-base-uncased
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datasets:
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- tosdr
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metrics:
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- Precision
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- Recall
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- F1 Score
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---
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## City-Country-NER
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A `bert-base-uncased` model finetuned on a custom dataset to detect `Country` and `City` names from a given sentence.
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### Custom Dataset
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We weakly supervised the [Ultra-Fine Entity Typing](https://www.cs.utexas.edu/~eunsol/html_pages/open_entity.html) dataset to include the `City` and `Country` information. We also did some extra preprocessing to remove false labels.
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The model predicts 3 different tags:
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