Update dataset card

README.md

@@ -1546,7 +1546,7 @@ config_names:
 
 - **Homepage:** https://sites.google.com/site/datascienceslab/projects/multilingualsentiment
 - **Repository:** https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages
-- **Paper:** [Needs More Information]
+- **Paper:** https://aclanthology.org/P14-2063/
 - **Leaderboard:** [Needs More Information]
 - **Point of Contact:** [Needs More Information]
 
@@ -1716,19 +1716,32 @@ Zhoa
 
 ### Licensing Information
 
-GNU General Public License v3
+GNU General Public License v3.
+
+It is distributed here under the [GNU General Public License](http://www.gnu.org/licenses/gpl-3.0.html). 
+Note that this is the full GPL, which allows many free uses, but does not allow its incorporation into any type of distributed proprietary software, even in part or in translation.
+For commercial applications please contact the dataset creators (see "Citation Information").
 
 ### Citation Information
-@inproceedings{inproceedings,
-author = {Chen, Yanqing and Skiena, Steven},
-year = {2014},
-month = {06},
-pages = {383-389},
-title = {Building Sentiment Lexicons for All Major Languages},
-volume = {2},
-journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference},
-doi = {10.3115/v1/P14-2063}
+
+This dataset was collected by Yanqing Chen and Steven Skiena. If you use it in your work, please cite the following paper:
+
+```bibtex
+@inproceedings{chen-skiena-2014-building,
+    title = "Building Sentiment Lexicons for All Major Languages",
+    author = "Chen, Yanqing  and
+      Skiena, Steven",
+    booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
+    month = jun,
+    year = "2014",
+    address = "Baltimore, Maryland",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P14-2063",
+    doi = "10.3115/v1/P14-2063",
+    pages = "383--389",
 }
+```
+
 ### Contributions
 
 Thanks to [@KMFODA](https://github.com/KMFODA) for adding this dataset.