Update README.md

README.md

@@ -50,4 +50,25 @@ Hereafter is the classification report of the model evaluation on the test split
     accuracy                           0.92       396
    macro avg       0.91      0.92      0.92       396
 weighted avg       0.92      0.92      0.92       396
+```
+
+If you find it useful, please cite the following paper:
+
+```bibtex
+@inproceedings{10.1145/3477314.3507106,
+    author = {Vaiani, Lorenzo and La Quatra, Moreno and Cagliero, Luca and Garza, Paolo},
+    title = {Leveraging Multimodal Content for Podcast Summarization},
+    year = {2022},
+    isbn = {9781450387132},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    url = {https://doi.org/10.1145/3477314.3507106},
+    doi = {10.1145/3477314.3507106},
+    booktitle = {Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing},
+    pages = {863–870},
+    numpages = {8},
+    keywords = {multimodal learning, multimodal features fusion, extractive summarization, deep learning, podcast summarization},
+    location = {Virtual Event},
+    series = {SAC '22}
+}
 ```