Description
This is a Legal Relation Extraction Pretrained Pipeline to get the relations linking the different concepts together, if such relation exists. The list of relations is:
- dated_as: A Document has an Effective Date
- has_alias: The Alias of a Party all along the document
- has_collective_alias: An Alias hold by several parties at the same time
- signed_by: Between a Party and the document they signed
Predicted Entities
dated_as, has_alias, has_collective_alias, signed_by
How to use
legal_pipeline = nlp.PretrainedPipeline("legpipe_re_contract_doc_parties_alias", "en", "finance/models")
text = '''THIS Lease Agreement , is made and entered into this _____day of May, 2006 by and between Apple, Inc., (hereinafter called "Landlord"), and IMI Global, Inc., with a mailing address of ___, (hereinafter referred as "Tenant").'''
result = legal_pipeline.annotate(text)
Results
+---------+-----------------+--------------------+-----------------+----------------+----------+------------------+
|relations|relations_entity1| relations_chunk1|relations_entity2|relations_chunk2|confidence|syntactic_distance|
+---------+-----------------+--------------------+-----------------+----------------+----------+------------------+
| dated_as| DOC|THIS Lease Agreement| EFFDATE| of May, 2006| 0.9999546| 6|
|signed_by| DOC|THIS Lease Agreement| PARTY| Apple, Inc| 0.988555| 5|
|signed_by| DOC|THIS Lease Agreement| PARTY|IMI Global, Inc| 0.9568861| 7|
|has_alias| PARTY| Apple, Inc| ALIAS| Landlord|0.99999475| 4|
|has_alias| PARTY| IMI Global, Inc| ALIAS| Tenant| 0.9999893| 4|
+---------+-----------------+--------------------+-----------------+----------------+----------+------------------+
Model Information
| Model Name: | legpipe_re_contract_doc_parties_alias |
| Type: | pipeline |
| Compatibility: | Legal NLP 1.0.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 910.2 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- RoBertaEmbeddings
- PerceptronModel
- DependencyParserModel
- LegalNerModel
- NerConverter
- RENerChunksFilter
- RelationExtractionDLModel