Update README.md

README.md

@@ -28,13 +28,11 @@ The documents in the DIMMI exhibit a wide range of lengths, with the shortest do
 
 
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Curated by:** Raffaele Manna, Maria Pia di Buono, Luca Giordano
+-- **Language(s) (NLP):** Italian
 - **License:** [More Information Needed]
 
-### Dataset Sources [optional]
+### Dataset Sources
 
 DIMMI dataset is derived from the [D-LeafIT Corpus](https://github.com/unior-nlp-research-group/D-LeafIT), made up of 1819 Italian drug package leaflets. 
 The corpus has been created extracting PILs available on the [Italian Agency for Medications (Agenzia Italiana del Farmaco - AIFA)](https://www.aifa.gov.it/en/home), 
@@ -181,32 +179,19 @@ The manual annotation process ensures a high-quality benchmark against which we
 
 Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
 
-[More Information Needed]
+@inproceedings{manna2024dimmi,
+  title={DIMMI-Drug InforMation Mining in Italian: A CALAMITA Challenge},
+  author={Manna, Raffaele and di Buono, Maria Pia and Giordano, Luca and others},
+  booktitle={Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)},
+  year={2024}
+}
 
 **APA:**
 
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-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
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-
-## More Information [optional]
-
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-## Dataset Card Authors [optional]
-
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-## Dataset Card Contact
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+Manna, R., di Buono, M. P., & Giordano, L. (2024). DIMMI-Drug InforMation Mining in Italian: A CALAMITA Challenge. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024).