02.Sentence_Splitting_Tokenization.ipynb
03.Word_Sentence_Embeddings.ipynb
04.0.Clause_Document_Classification.ipynb
04.1.Training_Legal_Binary_Classifier.ipynb
04.2.Training_Legal_Multiclass_Classifier.ipynb
04.3.Training_Legal_Multilabel_Classifier.ipynb
04.4.Training_Legal_Multilabel_Classifier.ipynb
04.5.Classifying_with_WindowSplitting.ipynb
05.0.NER_and_ZeroShotNER.ipynb
05.4.BertForTokenClassification_TrainEval.ipynb
05.5.BertForTokenClassification_TrainAndSave.ipynb
05.6.Contextual_Parser_Rule_Based_NER.ipynb
06.0.Relation_Extraction.ipynb
06.1.Relation_Extraction_and_ZeroShotRE.ipynb
06.2.Relation_Extraction_Training.ipynb
06.3.Classification_NER_RE_on_Parties.ipynb
07.0.Understand_Entities_in_Context.ipynb
07.1.Training_Legal_Assertion.ipynb
08.0.Answering_Questions_Legal_Texts.ipynb
08.1.Automatic_Question_Generation_Legal_Texts.ipynb
08.2.NER_using_Question_Answering.ipynb
09.0.Normalization_with_Entity_Resolution_Edgar.ipynb
09.1.Entity_Resolution_Edgar_unique_IDs.ipynb
09.2.Entity_Resolution_Training.ipynb
10.0.Data_Augmentation_with_ChunkMappers.ipynb
10.1.Chunk_Mappers_Training.ipynb
11.1.Deidentification_Utility_Module.ipynb
12.Coreference_Resolution.ipynb
13.0.Legal_Summarization.ipynb
14.0.Legal_ChunkKeyPhraseExtraction.ipynb
17.0.Vector_Store_Integration.ipynb
80.0.Legal_Contract_Understanding.ipynb
80.1.Legal_Contract_Understanding_NDA.ipynb](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/legal-nlp/80.1.Legal_Contract_Understanding_NDA.ipynb)
80.2.Legal_Subpoenas_NER.ipynb