0.0.8
Intro
Hello bot!
Installation
Conceptual overview
Key Concepts
Features
Components
Skills
AutoML
Embeddings
Examples of some components
Configuration files
Training
Train config
Train Parameters
DatasetReader
DataLearningIterator and DataFittingIterator
Inference
Pre-trained embeddings
ELMo
fastText
License
Downloads
Word vectors training parameters
AutoML
Cross-validation
Parameters
Special parameters in config
Results
Parameters evolution for DeepPavlov models
Example
Tutorials
Introduction to DeepPavlov
Data preparation in DeepPavlov
Named Entity Recognition with DeepPavlov
Task-oriented bot with DeepPavlov
Chit-chat bot with DeepPavlov
FAQ with DeepPavlov
Components
Context Question Answering
Task definition
Model
Configuration
Model usage
Training
Interact mode
Pretrained models:
SQuAD
SDSJ Task B
Classification
Download pre-trained model
Infer from pre-trained model
Train model
Available models
Configuration parameters
Train again on provided datasets
Train on other datasets
Comparison
How to improve the performance
References
Morphological Tagger
Task description
Training data
Test data
Algorithm description
Model configuration.
Training configuration
Dataset Reader
Dataset iterator
Chainer
Evaluate configuration
Predict configuration
Named Entity Recognition
NER task
Training data
Configuration of the model
Dataset Reader
Dataset Iterator
Chainer
Train and use the model
OntoNotes NER
Results
Literature
Neural Ranking
Ranking
Paraphrase identification
References
Slot filling
Configuration of the model
Dataset Reader
Dataset Iterator
Chainer
Usage of the model
Slotfilling without NER
Spelling Correction
Quick start
levenshtein_corrector
Component config parameters:
brillmoore
Component config parameters:
Training configuration
Language model
Comparison
TF-IDF Ranking
Config
Config Structure
Running the Ranker
Training
Interacting
Available Data and Pretrained Models
enwiki.db
enwiki_tfidf_matrix.npz
ruwiki.db
ruwiki_tfidf_matrix.npz
Comparison
References
Skills
Goal-Oriented Dialogue Bot
Usage
Requirements
Configs:
Usage example
Config parameters
Datasets
DSTC2
Your data
Dialogs
Templates
Database (optional)
Comparison
References
Open-Domain Question Answering
Task definition
Languages
Models
Running ODQA
Training
Interacting
Configuration
Comparison
References
Pattern Matching
Sequence-To-Sequence Dialogue Bot
Configs
Usage
Config parameters:
Comparison
References
Frequently Asked Questions Answering
Config
Config Structure
Vectorizers
Classifiers for FAQ
Running FAQ
Training
Interacting
Available Data and Pretrained Models
eCommerce Bot
Usage
Requirements
Config file
Usage example
Configuration settings
Chainer
References
Package Reference
agents
deeppavlov.agents.default_agent
deeppavlov.agents.filters
deeppavlov.agents.hello_bot_agent
deeppavlov.agents.processors
deeppavlov.agents.rich_content
core
deeppavlov.core.agent
deeppavlov.core.commands
deeppavlov.core.common
deeppavlov.core.data
deeppavlov.core.models
deeppavlov.core.skill
dataset_iterators
dataset_readers
metrics
models
deeppavlov.models.api_requester
deeppavlov.models.classifiers
deeppavlov.models.doc_retrieval
deeppavlov.models.embedders
deeppavlov.models.go_bot
deeppavlov.models.morpho_tagger
deeppavlov.models.ner
deeppavlov.models.preprocessors
deeppavlov.models.ranking
deeppavlov.models.seq2seq_go_bot
deeppavlov.models.slotfill
deeppavlov.models.spelling_correction
deeppavlov.models.squad
deeppavlov.models.tokenizers
deeppavlov.models.vectorizers
skills
deeppavlov.skills.default_skill
deeppavlov.skills.ecommerce_bot.bot
deeppavlov.skills.pattern_matching_skill
vocabs
Developer Guides
Extending the library
Microsoft Bot Framework integration
1. Web App Bot setup
2. DeepPavlov skill/component REST service mounting
REST API
Yandex Alice integration
DeepPavlov
Docs
»
skills
»
deeppavlov.skills.pattern_matching_skill
Edit on GitHub
deeppavlov.skills.pattern_matching_skill
ΒΆ
Simple pattern matching skills.