Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
ArXiv:
License:
readme
Browse files
README.md
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@@ -135,6 +135,8 @@ The label2id dictionary can be found at [here](https://huggingface.co/datasets/t
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## Models
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| Model (link) | Data | Language Model | Micro F1 (2021) | Macro F1 (2021) | F1 (2021)/corporation | F1 (2021)/creative_work | F1 (2021)/event | F1 (2021)/group | F1 (2021)/location | F1 (2021)/person | F1 (2021)/product | Micro F1 (2020) | Macro F1 (2020) | F1 (2020)/corporation | F1 (2020)/creative_work | F1 (2020)/event | F1 (2020)/group | F1 (2020)/location | F1 (2020)/person | F1 (2020)/product | Entity-Span F1 (2021) | Entity-Span F1 (2020) |
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|:--------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------|------------------:|------------------:|------------------------:|--------------------------:|------------------:|------------------:|---------------------:|-------------------:|--------------------:|------------------:|------------------:|------------------------:|--------------------------:|------------------:|------------------:|---------------------:|-------------------:|--------------------:|------------------------:|------------------------:|
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| [`tner/roberta-large-tweetner7-all`](https://huggingface.co/tner/roberta-large-tweetner7-all) | [`tweetner7`](https://huggingface.co/datasets/tner/tweetner7) | [`roberta-large`](https://huggingface.co/roberta-large) | 65.75 | 61.25 | 53.92 | 47.61 | 46.73 | 61.4 | 67.07 | 82.93 | 69.06 | 66.29 | 62.97 | 61.84 | 51.59 | 50.29 | 55.99 | 69.23 | 82.01 | 69.86 | 78.82 | 76.43 |
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## Models
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### Main Models
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| Model (link) | Data | Language Model | Micro F1 (2021) | Macro F1 (2021) | F1 (2021)/corporation | F1 (2021)/creative_work | F1 (2021)/event | F1 (2021)/group | F1 (2021)/location | F1 (2021)/person | F1 (2021)/product | Micro F1 (2020) | Macro F1 (2020) | F1 (2020)/corporation | F1 (2020)/creative_work | F1 (2020)/event | F1 (2020)/group | F1 (2020)/location | F1 (2020)/person | F1 (2020)/product | Entity-Span F1 (2021) | Entity-Span F1 (2020) |
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|:--------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------|------------------:|------------------:|------------------------:|--------------------------:|------------------:|------------------:|---------------------:|-------------------:|--------------------:|------------------:|------------------:|------------------------:|--------------------------:|------------------:|------------------:|---------------------:|-------------------:|--------------------:|------------------------:|------------------------:|
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| [`tner/roberta-large-tweetner7-all`](https://huggingface.co/tner/roberta-large-tweetner7-all) | [`tweetner7`](https://huggingface.co/datasets/tner/tweetner7) | [`roberta-large`](https://huggingface.co/roberta-large) | 65.75 | 61.25 | 53.92 | 47.61 | 46.73 | 61.4 | 67.07 | 82.93 | 69.06 | 66.29 | 62.97 | 61.84 | 51.59 | 50.29 | 55.99 | 69.23 | 82.01 | 69.86 | 78.82 | 76.43 |
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