Update README.md

README.md

@@ -1,3 +1,45 @@
 ---
+language: fr
+tags:
+- Early Modern French
+- Historical
+- POS
+- flair
 license: apache-2.0
+datasets:
+  - freemlpm
+library_name: flair
+pipeline_tag: token-classification
 ---
+
+<a href="https://portizs.eu/publication/2022/lrec/dalembert/">
+	<img width="300px" src="https://portizs.eu/publication/2022/lrec/dalembert/featured_hu18bf34d40cdc71c744bdd15e48ff0b23_61788_720x2500_fit_q100_h2_lanczos_3.webp">
+</a>
+
+# D'AlemBERT-POS model
+
+This model is fine-tuned version of a [D'AlemBERT](https://huggingface.co/pjox/dalembert) on the [FreEMLPM corpus](https://doi.org/10.5281/zenodo.6481300) for Early Modern French. It was
+introduced in [this paper](https://aclanthology.org/2022.lrec-1.359/).
+
+### BibTeX entry and citation info
+
+```bibtex
+@inproceedings{gabay-etal-2022-freem,
+    title = "From {F}re{EM} to D{'}{A}lem{BERT}: a Large Corpus and a Language Model for Early {M}odern {F}rench",
+    author = "Gabay, Simon  and
+      Ortiz Suarez, Pedro  and
+      Bartz, Alexandre  and
+      Chagu{\'e}, Alix  and
+      Bawden, Rachel  and
+      Gambette, Philippe  and
+      Sagot, Beno{\^\i}t",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.359",
+    pages = "3367--3374",
+    abstract = "anguage models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, this paper presents recent efforts to overcome this difficult situation. These efforts include producing a corpus, creating the model, and evaluating it with an NLP task currently used by scholars in other ongoing projects.",
+}
+```