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model update

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  1. README.md +21 -2
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@@ -165,8 +165,8 @@ The following hyperparameters were used during training:
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  The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/tner/roberta-large-tweetner7-selflabel2020-continuous/raw/main/trainer_config.json).
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  ### Reference
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- If you use any resource from T-NER, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).
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-
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  ```
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  @inproceedings{ushio-camacho-collados-2021-ner,
@@ -185,4 +185,23 @@ If you use any resource from T-NER, please consider to cite our [paper](https://
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/tner/roberta-large-tweetner7-selflabel2020-continuous/raw/main/trainer_config.json).
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  ### Reference
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+ If you use the model, please cite T-NER paper and TweetNER7 paper.
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+ - T-NER
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  ```
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  @inproceedings{ushio-camacho-collados-2021-ner,
 
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  }
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  ```
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+ - TweetNER7
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+ ```
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+
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+ @inproceedings{ushio-etal-2022-tweet,
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+ title = "{N}amed {E}ntity {R}ecognition in {T}witter: {A} {D}ataset and {A}nalysis on {S}hort-{T}erm {T}emporal {S}hifts",
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+ author = "Ushio, Asahi and
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+ Neves, Leonardo and
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+ Silva, Vitor and
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+ Barbieri, Francesco. and
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+ Camacho-Collados, Jose",
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+ booktitle = "The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing",
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+ month = nov,
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+ year = "2022",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+
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+ ```
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+
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