2023-04-25-legner_greek_legislation_el (#148)

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Co-authored-by: bunyamin-polat <muhendisbp@gmail.com>
Co-authored-by: Bünyamin Polat <78386903+bunyamin-polat@users.noreply.github.com>

docs/_posts/bunyamin-polat/2023-04-25-legner_greek_legislation_el.md

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+---
+layout: model
+title: Legal NER in Greek Legislations
+author: John Snow Labs
+name: legner_greek_legislation
+date: 2023-04-25
+tags: [el, legal, ner, licensed, legislation]
+task: Named Entity Recognition
+language: el
+edition: Legal NLP 1.0.0
+spark_version: 3.0
+supported: true
+annotator: LegalNerModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This Legal NER model extracts the following entities from the Greek legislations:
+
+- `FACILITY`: Facilities, such as police stations, departments, etc.
+- `GPE`: Geopolitical Entity; any reference to a geopolitical entity (e.g., country, city, Greek administrative unit, etc.)
+- `LEG_REF`: Legislation Reference; any reference to Greek or European legislation
+- `ORG`: Organization; any reference to a public or private organization
+- `PER`: Any formal name of a person mentioned in the text
+- `PUBLIC_DOC`: Public Document Reference
+
+## Predicted Entities
+
+`FACILITY`, `GPE`, `LEG_REF`, `PUBLIC_DOC`, `PER`, `ORG`
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/legal/models/legner_greek_legislation_el_1.0.0_3.0_1682420832367.zip){:.button.button-orange}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/legal/models/legner_greek_legislation_el_1.0.0_3.0_1682420832367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+
+```python
+document_assembler = nlp.DocumentAssembler()\
+        .setInputCol("text")\
+        .setOutputCol("document")
+
+tokenizer = nlp.Tokenizer()\
+        .setInputCols(["document"])\
+        .setOutputCol("token")
+
+embeddings = nlp.BertEmbeddings.pretrained("bert_embeddings_base_el_cased","el")\
+        .setInputCols(["document", "token"])\
+        .setOutputCol("embeddings")\
+        .setMaxSentenceLength(512)\
+        .setCaseSensitive(True)
+
+ner_model = legal.NerModel.pretrained("legner_greek_legislation", "el", "legal/models")\
+        .setInputCols(["document", "token", "embeddings"])\
+        .setOutputCol("ner")
+
+ner_converter = nlp.NerConverter()\
+        .setInputCols(["document", "token", "ner"])\
+        .setOutputCol("ner_chunk")
+
+nlpPipeline = nlp.Pipeline(stages=[
+        document_assembler,
+        tokenizer,
+        embeddings,
+        ner_model,
+        ner_converter])
+
+empty_data = spark.createDataFrame([[""]]).toDF("text")
+
+model = nlpPipeline.fit(empty_data)
+
+text_list = ["""3 του άρθρου 5 του ν. 3148/2003, όπως ισχύει, αντικαθίσταται ως εξής""",
+                   """1 του άρθρου 1 ασκούνται πλέον από την ΕΥΔΕ/ΕΣΕΑ μέσα σε δύο μήνες από την έναρξη ισχύος του παρόντος Διατάγματος.""",
+                   """Ο Πρόεδρος της Επιτροπής και τα τέσσερα μέλη με ισάριθμα αναπληρωματικά εκλέγονται μεταξύ των δημοτών του Δήμου Κυθήρων.""",
+                   """Τη με αριθ. 117/Σ.10η/25 Ιουλ 2016 γνωμοδότηση του Ανωτάτου Στρατιωτικού Συμβουλίου."""]
+
+result = model.transform(spark.createDataFrame(pd.DataFrame({"text" : text_list})))
+```
+
+</div>
+
+## Results
+
+```bash
++----------------------------------------+----------+
+|chunk                                   |ner_label |
++----------------------------------------+----------+
+|ν. 3148/2003                            |LEG_REF   |
+|ΕΥΔΕ/ΕΣΕΑ                               |ORG       |
+|Δήμου Κυθήρων                           |GPE       |
+|αριθ. 117/Σ.10η/25 Ιουλ 2016 γνωμοδότηση|PUBLIC_DOC|
++----------------------------------------+----------+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legner_greek_legislation|
+|Compatibility:|Legal NLP 1.0.0+|
+|License:|Licensed|
+|Edition:|Official|
+|Input Labels:|[sentence, token, embeddings]|
+|Output Labels:|[ner]|
+|Language:|el|
+|Size:|16.4 MB|
+
+## References
+
+In-house annotations
+
+## Benchmarking
+
+```bash
+label         precision  recall  f1-score  support 
+FACILITY      0.94       0.80    0.86      64      
+GPE           0.77       0.83    0.80      136     
+LEG_REF       0.94       0.90    0.92      93      
+ORG           0.85       0.74    0.79      173     
+PER           0.72       0.71    0.71      58      
+PUBLIC_DOC    0.76       0.82    0.79      39      
+micro-avg     0.83       0.80    0.81      563     
+macro-avg     0.83       0.80    0.81      563     
+weighted-avg  0.84       0.80    0.82      563 
+```