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Add reference paper

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@@ -94,4 +94,26 @@ Output:
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  1) positive 0.8466
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  2) neutral 0.1458
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  3) negative 0.0076
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  1) positive 0.8466
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  2) neutral 0.1458
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  3) negative 0.0076
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+ ```
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+
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+ ### BibTeX entry and citation info
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+
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+ Please cite the [reference paper](https://aclanthology.org/2020.findings-emnlp.148/) if you use this model.
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+
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+ ```bibtex
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+ @inproceedings{barbieri-etal-2020-tweeteval,
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+ title = "{T}weet{E}val: Unified Benchmark and Comparative Evaluation for Tweet Classification",
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+ author = "Barbieri, Francesco and
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+ Camacho-Collados, Jose and
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+ Espinosa Anke, Luis and
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+ Neves, Leonardo",
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+ booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
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+ month = nov,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2020.findings-emnlp.148",
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+ doi = "10.18653/v1/2020.findings-emnlp.148",
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+ pages = "1644--1650"
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+ }
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  ```