Welcome to DeepPavlov’s documentation!¶
- Multitask BERT
- Context Question Answering
- Classification
- Few-shot Classification
- Named Entity Recognition
- Entity Extraction
- BERT-based models
- Morphological Tagging
- Neural Ranking
- Spelling Correction
- Syntactic Parsing
- TF-IDF Ranking
- Popularity Ranking
- Knowledge Base Question answering
- Relation Extraction
- Train the model using Python:
- SuperGLUE Submission
- Open-Domain Question Answering
- core
- dataset_iterators
- dataset_readers
- metrics
- models
- deeppavlov.models.api_requester
- deeppavlov.models.classifiers
- deeppavlov.models.doc_retrieval
- deeppavlov.models.embedders
- deeppavlov.models.entity_extraction
- deeppavlov.models.kbqa
- deeppavlov.models.preprocessors
- deeppavlov.models.relation_extraction
- deeppavlov.models.sklearn
- deeppavlov.models.spelling_correction
- deeppavlov.models.tokenizers
- deeppavlov.models.torch_bert
- deeppavlov.models.vectorizers
- vocabs