Models hub legal

docs/_posts/gadde5300/2024-05-15-legner_lener_base_pt.md

@@ -226,4 +226,4 @@ result = pipeline.fit(example).transform(example)
 
 ## References
 
-Original texts available in https://paperswithcode.com/sota?task=Token+Classification&dataset=lener_br and in-house data augmentation with weak labelling
+Original texts available in https://paperswithcode.com/sota?task=Token+Classification&dataset=lener_br and in-house data augmentation with weak labelling.

docs/_posts/gadde5300/2024-05-15-legner_lener_large_pt.md

@@ -226,4 +226,4 @@ result = pipeline.fit(example).transform(example)
 
 ## References
 
-Original texts available in https://paperswithcode.com/sota?task=Token+Classification&dataset=lener_br and in-house data augmentation with weak labelling
+Original texts available in https://paperswithcode.com/sota?task=Token+Classification&dataset=lener_br and in-house data augmentation with weak labelling.

docs/_posts/gadde5300/2024-11-15-legpipe_header_subheader_en.md

@@ -0,0 +1,78 @@
+---
+layout: model
+title: Legal Pipeline (Headers / Subheaders)
+author: John Snow Labs
+name: legpipe_header_subheader
+date: 2024-11-15
+tags: [en, licensed, legal, ner, contextual_parser]
+task: Pipeline Legal
+language: en
+edition: Legal NLP 1.0.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This is a Legal pretrained pipeline, aimed to carry out Section Splitting by using the Headers and Subheaders entities, detected in the document.
+
+{:.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/legpipe_header_subheader_en_1.0.0_3.0_1731708160777.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/legal/models/legpipe_header_subheader_en_1.0.0_3.0_1731708160777.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
+legal_pipeline = nlp.PretrainedPipeline("legpipe_header_subheader", "en", "legal/models")
+
+text = ["""2. DEFINITION. 
+For purposes of this Agreement, the following terms have the meanings ascribed thereto in this Section 1 and 2 Appointment as Reseller.
+2.1 Appointment. 
+The Company hereby [***]. Allscripts may also disclose Company's pricing information relating to its Merchant Processing Services and facilitate procurement of Merchant Processing Services on behalf of Sublicensed Customers, including, without limitation by references to such pricing information and Merchant Processing Services in Customer Agreements. 6
+2.2 Customer Agreements."""]
+
+result = legal_pipeline.annotate(text)
+```
+
+</div>
+
+## Results
+
+```bash
+|                  chunks | begin | end |  entities |
+|------------------------:|------:|----:|----------:|
+|           2. DEFINITION |     0 |  12 |    HEADER |
+|         2.1 Appointment |   154 | 168 | SUBHEADER |
+| 2.2 Customer Agreements |   530 | 552 | SUBHEADER |
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legpipe_header_subheader|
+|Type:|pipeline|
+|Compatibility:|Legal NLP 1.0.0+|
+|License:|Licensed|
+|Edition:|Official|
+|Language:|en|
+|Size:|31.4 KB|
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- ContextualParserModel
+- ContextualParserModel
+- ChunkMergeModel

docs/_posts/gadde5300/2024-11-16-legpipe_header_subheader_en.md

@@ -0,0 +1,80 @@
+---
+layout: model
+title: Legal Pipeline (Headers / Subheaders)
+author: John Snow Labs
+name: legpipe_header_subheader
+date: 2024-11-16
+tags: [en, contextual_parser, legal, ner, licensed]
+task: Pipeline Legal
+language: en
+edition: Legal NLP 1.0.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This is a Legal pretrained pipeline, aimed to carry out Section Splitting by using the Headers and Subheaders entities, detected in the document.
+
+{:.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/legpipe_header_subheader_en_1.0.0_3.0_1731728805741.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/legal/models/legpipe_header_subheader_en_1.0.0_3.0_1731728805741.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
+legal_pipeline = nlp.PretrainedPipeline("legpipe_header_subheader", "en", "legal/models")
+
+text = ["""2. DEFINITION. 
+For purposes of this Agreement, the following terms have the meanings ascribed thereto in this Section 1 and 2 Appointment as Reseller.
+2.1 Appointment. 
+The Company hereby [***]. Allscripts may also disclose Company's pricing information relating to its Merchant Processing Services and facilitate procurement of Merchant Processing Services on behalf of Sublicensed Customers, including, without limitation by references to such pricing information and Merchant Processing Services in Customer Agreements. 6
+2.2 Customer Agreements."""]
+
+result = legal_pipeline.annotate(text)
+```
+
+</div>
+
+## Results
+
+```bash
+|                  chunks | begin | end |  entities |
+|------------------------:|------:|----:|----------:|
+|           2. DEFINITION |     0 |  12 |    HEADER |
+|         2.1 Appointment |   154 | 168 | SUBHEADER |
+| 2.2 Customer Agreements |   530 | 552 | SUBHEADER |
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legpipe_header_subheader|
+|Type:|pipeline|
+|Compatibility:|Legal NLP 1.0.0+|
+|License:|Licensed|
+|Edition:|Official|
+|Language:|en|
+|Size:|27.1 KB|
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetector
+- TokenizerModel
+- RegexMatcherModel
+- RegexMatcherModel
+- ContextualParserModel
+- ChunkMergeModel