model update

README.md

@@ -165,8 +165,8 @@ The following hyperparameters were used during training:
 The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/tner/roberta-large-tweetner7-selflabel2021-continuous/raw/main/trainer_config.json).
 
 ### Reference
-If you use any resource from T-NER, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).
-
+If you use the model, please cite T-NER paper and TweetNER7 paper.
+- T-NER
 ```
 
 @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://
 }
 
 ```
+- TweetNER7
+```
+
+@inproceedings{ushio-etal-2022-tweet,
+    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",
+    author = "Ushio, Asahi  and
+        Neves, Leonardo  and
+        Silva, Vitor  and
+        Barbieri, Francesco. and
+        Camacho-Collados, Jose",
+    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",
+    month = nov,
+    year = "2022",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+}
+
+```
+