Update README.md

README.md

@@ -16,7 +16,8 @@ tags:
 - **Language**: Spanish
 - **Data**: [CelebA_Sent2vec_Sp](https://huggingface.co/datasets/oeg/CelebA_Sent2Vect_Sp).
 - **Architecture**: Sent2vec
-  
+- **Paper**: [Information Processing and Management](https://doi.org/10.1016/j.ipm.2024.103667) 
+    
 ## Description
 
 Sent2vec can be used directly for English texts. For this purpose, all you have to do is download the library and enter the text to be coded, since most 
@@ -61,9 +62,9 @@ This model is available under the [CC BY-NC 4.0.](https://creativecommons.org/li
 
 ## Citation information
 
-**Citing**: If you used Sent2vec+CelebA model in your work, please cite the **[????](???)**:
+**Citing**: If you used Sent2vec+CelebA model in your work, please cite the paper publish in **[Information Processing and Management](https://doi.org/10.1016/j.ipm.2024.103667)**:
 
-<!--```bib
+```bib
 @article{YAURILOZANO2024103667,
 title = {Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish},
 journal = {Information Processing & Management},
@@ -76,7 +77,7 @@ doi = {https://doi.org/10.1016/j.ipm.2024.103667},
 url = {https://www.sciencedirect.com/science/article/pii/S030645732400027X},
 author = {Eduardo Yauri-Lozano and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro}
 }
-```-->
+```
 
 ## Autors
 - [Eduardo Yauri Lozano](https://github.com/eduar03yauri)