Create README.md

README.md

@@ -0,0 +1,75 @@
+---
+
+language: 
+  - en
+tags:
+- coreference-resolution
+license: 
+- cc-by-nc-sa-4.0
+datasets:
+- PreCo
+metrics:
+- CoNLL
+task_categories:
+- coreference-resolution
+model-index:
+- name: sapienzanlp/maverick-mes-preco
+  results:
+  - task:
+      type: coreference-resolution
+      name: coreference-resolution
+    dataset:
+      name: preco
+      type: coreference
+    metrics:
+    - name: Avg. F1
+      type: CoNLL
+      value: 87.4
+
+---
+
+
+# Maverick mes PreCo
+Official weights for *Maverick-mes* trained on PreCo and based on DeBERTa-large.
+This model achieves 87.4 Avg CoNLL-F1 on PreCo coreference resolution dataset.
+
+Other available models at [SapienzaNLP huggingface hub](https://huggingface.co/collections/sapienzanlp/maverick-coreference-resolution-66a750a50246fad8d9c7086a):
+
+|            hf_model_name            | training dataset | Score | Singletons |
+|:-----------------------------------:|:----------------:|:-----:|:----------:|
+|    ["sapienzanlp/maverick-mes-ontonotes"](https://huggingface.co/sapienzanlp/maverick-mes-ontonotes)    |     OntoNotes    |  83.6 |     No     |
+|     ["sapienzanlp/maverick-mes-litbank"](https://huggingface.co/sapienzanlp/maverick-mes-litbank)     |      LitBank     |  78.0 |     Yes    |
+|      ["sapienzanlp/maverick-mes-preco"](https://huggingface.co/sapienzanlp/maverick-mes-preco)      |       PreCo      |  87.4 |     Yes    |
+<!-- |    ["sapienzanlp/maverick-s2e-ontonotes"](https://huggingface.co/sapienzanlp/maverick-mes-preco)    |     OntoNotes    |  83.4 |     No     |     No    | -->
+<!-- |    "sapienzanlp/maverick-incr-ontonotes"   |     Ontonotes    |  83.5 |     No     |     No    | -->
+<!-- |  "sapienzanlp/maverick-mes-ontonotes-base" |     Ontonotes    |  81.4 |     No     |     No    | -->
+<!-- | "sapienzanlp/maverick-s2e-ontonotes-base"  |     Ontonotes    |  81.1 |     No     |     No    | -->
+<!-- | "sapienzanlp/maverick-incr-ontonotes-base" |     Ontonotes    |  81.0 |     No     |     No    | -->
+<!-- |     "sapienzanlp/maverick-s2e-litbank"     |      LitBank     |  77.6 |     Yes    |     No    | -->
+<!-- |     "sapienzanlp/maverick-incr-litbank"    |      LitBank     |  78.3 |     Yes    |     No    | -->
+<!-- |      "sapienzanlp/maverick-s2e-preco"      |       PreCo      |  87.2 |     Yes    |     No    | -->
+<!-- |      "sapienzanlp/maverick-incr-preco"     |       PreCo      |  88.0 |     Yes    |     No    | -->
+N.B. Each dataset has different annotation guidelines, choose your model according to your use case.
+
+
+## Maverick: Efficient and Accurate Coreference Resolution Defying recent trends
+
+[![Conference](https://img.shields.io/badge/ACL%202024%20Paper-red)](https://arxiv.org/pdf/2407.21489)
+[![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-green.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
+[![Pip Package](https://img.shields.io/badge/🐍%20Python%20package-blue)](https://pypi.org/project/maverick-coref/)
+[![git](https://img.shields.io/badge/Git%20Repo%20-yellow.svg)](https://github.com/SapienzaNLP/maverick-coref)
+
+### Citation
+
+```
+@inproceedings{martinelli-etal-2024-maverick,
+    title = "Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends",
+    author = "Martinelli, Giuliano and
+      Barba, Edoardo  and
+      Navigli, Roberto",
+        booktitle = "Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2024)",
+    year      = "2024",
+    address   = "Bangkok, Thailand",
+    publisher = "Association for Computational Linguistics",
+}
+```