Update README.md

README.md

@@ -1,51 +1,67 @@
----
-language:
-- multilingual
-- pl
-- ru
-- uk
-- bg
-- cs
-- sl
-datasets:
-- SlavicNER
-license: apache-2.0
-library_name: transformers
-pipeline_tag: text2text-generation
-tags:
-- entity linking
-widget:
-  - text: "pl:Polsce"
-  - text: "cs:Velké Británii"
-  - text: "bg:българите"
-  - text: "ru:Великобританию"
-  - text: "sl:evropske komisije"
-  - text: "uk:Європейського агентства лікарських засобів"
----
-
-# Model description
-
-This is a baseline model for named entity **lemmatization** trained on the single-out topic split of the 
-[SlavicNER corpus](https://github.com/SlavicNLP/SlavicNER).
-
-
-# Usage
-
-You can use this model directly with a pipeline for text2text generation:
-
-```python
-from transformers import pipeline
-
-model_name = "SlavicNLP/slavicner-linking-cross-topic-large"
-pipe = pipeline("text2text-generation", model_name)
-
-texts = ["pl:Polsce", "cs:Velké Británii", "bg:българите", "ru:Великобританию",
-         "sl:evropske komisije", "uk:Європейського агентства лікарських засобів"]
-
-outputs = pipe(texts)
-
-ids = [o['generated_text'] for o in outputs]
-print(ids)
-# ['GPE-Poland', 'GPE-Great-Britain', 'GPE-Bulgaria', 'GPE-Great-Britain',
-#  'ORG-European-Commission', 'ORG-EMA-European-Medicines-Agency']
-```
+---
+language:
+- multilingual
+- pl
+- ru
+- uk
+- bg
+- cs
+- sl
+datasets:
+- SlavicNER
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text2text-generation
+tags:
+- entity linking
+widget:
+  - text: "pl:Polsce"
+  - text: "cs:Velké Británii"
+  - text: "bg:българите"
+  - text: "ru:Великобританию"
+  - text: "sl:evropske komisije"
+  - text: "uk:Європейського агентства лікарських засобів"
+---
+
+# Model description
+
+This is a baseline model for named entity **lemmatization** trained on the single-out topic split of the 
+[SlavicNER corpus](https://github.com/SlavicNLP/SlavicNER).
+
+
+# Resources and Technical Documentation
+
+- Paper: [Cross-lingual Named Entity Corpus for Slavic Languages](https://arxiv.org/pdf/2404.00482), to appear in LREC-COLING 2024.
+- Annotation guidelines: https://arxiv.org/pdf/2404.00482
+- SlavicNER Corpus: https://github.com/SlavicNLP/SlavicNER
+
+
+# Evaluation
+
+*Will appear soon*
+
+
+# Usage
+
+You can use this model directly with a pipeline for text2text generation:
+
+```python
+from transformers import pipeline
+
+model_name = "SlavicNLP/slavicner-linking-cross-topic-large"
+pipe = pipeline("text2text-generation", model_name)
+
+texts = ["pl:Polsce", "cs:Velké Británii", "bg:българите", "ru:Великобританию",
+         "sl:evropske komisije", "uk:Європейського агентства лікарських засобів"]
+
+outputs = pipe(texts)
+
+ids = [o['generated_text'] for o in outputs]
+print(ids)
+# ['GPE-Poland', 'GPE-Great-Britain', 'GPE-Bulgaria', 'GPE-Great-Britain',
+#  'ORG-European-Commission', 'ORG-EMA-European-Medicines-Agency']
+```
+
+# Citation
+
+*Will appear soon*