Maintenance (Sep '24)

# Why is the change needed?

As the reference paper for Neo-GATE is now part of the ACL Anthology, we want to update old references pointing to the arXiv pre-print.

# What changes does the patch introduce?

We update the bib citation and the old links to the paper.
As part of the maintenance, we also add one missing link to the curator's profile on Hugging Face.

# How was this patch tested?

No test required.

README.md

@@ -73,7 +73,7 @@ There are two configurations available:
 
 ## Dataset creation
 
-Please refer to [the original paper](https://arxiv.org/abs/2405.08477) for full details on dataset creation.
+Please refer to [the original paper](https://aclanthology.org/2024.eamt-1.25/) for full details on dataset creation.
 
 ## Curation rationale
 
@@ -85,7 +85,7 @@ The tags were designed to cover all parts of the grammar which express grammatic
 ## Adaptation
 To adapt Neo-GATE to the desired neomorpheme paradigm, a `.json` file mapping Neo-GATE's tagset to the desired forms is required.
 See `schwa-complex.json` or `asterisk.json` for an example.
-For more information on the tagset, see Table 8 in [the original paper](https://arxiv.org/abs/2405.08477). 
+For more information on the tagset, see Table 8 in [the original paper](https://aclanthology.org/2024.eamt-1.25/). 
 
 To create the adapted references and annotations, use the `neogate_adapt.py` script with the following syntax:
 
@@ -121,18 +121,19 @@ The Neo-GATE corpus is released under a Creative Commons Attribution 4.0 Interna
 If you use Neo-GATE in your work, please cite the following paper:
 
     @inproceedings{piergentili-etal-2024-enhancing,
-          title={{Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models}},
-          author={Piergentili, Andrea and 
-          Savoldi, Beatrice and 
-          Negri, Matteo and 
-          Bentivogli, Luisa},
-          booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation",
-          month = jun,
-          year="2024",
-          address = "Sheffield, United Kingdom",
-          publisher = "European Association for Machine Translation",
-          pages = "298--312",
+    title = "Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models",
+    author = "Piergentili, Andrea  and
+      Savoldi, Beatrice  and
+      Negri, Matteo  and
+      Bentivogli, Luisa",
+    booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)",
+    month = jun,
+    year = "2024",
+    address = "Sheffield, UK",
+    publisher = "European Association for Machine Translation (EAMT)",
+    url = "https://aclanthology.org/2024.eamt-1.25",
+    pages = "300--314"
     }
 
 ## Contributions
-Thanks to @apiergentili for adding this dataset.
+Thanks to [@apiergentili](https://huggingface.co/apiergentili) for adding this dataset.