Deeppavlov

- Hugging Face datasets [support](http://docs.deeppavlov.ai/en/docs-preview/apiref/dataset_readers.html#deeppavlov.dataset_readers.huggingface_dataset_reader.HuggingFaceDatasetReader)
- Go-Bot now requires only RASA-based configs to train its components (intent catcher, slot filler, dialogue state tracker also known as Go-Bot itself)
- Prometheus [metrics middleware](http://docs.deeppavlov.ai/en/0.13.0/integrations/rest_api.html#metrics) for REST web service
- KBQA models fixes
- Minor edits of the documentation

- Entity Linking for Wikidata (English)
- Bugfixes in KBQA model
- Other minor improvements

- [PyTorch Support](http://docs.deeppavlov.ai/en/master/intro/choose_framework.html#text-classification-on-keras-or-pytorch) (w/ Examples)
- [Multi-task BERT](http://docs.deeppavlov.ai/en/master/features/models/multitask_bert.html)
- Basic [RASA Configs Support](http://docs.deeppavlov.ai/en/master/features/skills/go_bot.html#quick-start-rasa-dsls) for Go-Bot
- [Entity Linking](http://docs.deeppavlov.ai/en/master/features/models/entity_linking.html)
- `top_n` Answers API Update in ODQA Models
- Hybrid NER Models Trained on OntoNotes: [Ru](https://github.com/deepmipt/DeepPavlov/blob/dev/deeppavlov/configs/ner/ner_collection3_m1.json) | [En](https://github.com/deepmipt/DeepPavlov/blob/dev/deeppavlov/configs/ner/ner_ontonotes_m1.json)
- [BoolQ](https://github.com/google-research-datasets/boolean-questions) Dataset [Reader](https://github.com/deepmipt/DeepPavlov/blob/dev/deeppavlov/dataset_readers/boolqa_reader.py)

- Dataset generation tool with a [tutorial](https://github.com/deepmipt/DeepPavlov/blob/0.11.0/deeppavlov/contrib/examples/Dataset_generation_tutorial.ipynb) for Goal-Oriented Dialog Bot
- Undocumented [feature](https://github.com/deepmipt/DeepPavlov/pull/1246) for downloading artifacts from Amazon s3
- [New KBQA pipeline](https://github.com/deepmipt/DeepPavlov/blob/0.11.0/deeppavlov/configs/kbqa/kbqa_cq_online.json) for online version of Wikidata
- First version of a [KBQA pipeline](https://github.com/deepmipt/DeepPavlov/blob/0.11.0/deeppavlov/configs/kbqa/kbqa_cq_rus.json) using Syntax tree for generating SPARQL-queries
- And many small improvements and fixes

- [New Knowledge Base Question Answering](http://docs.deeppavlov.ai/en/0.10.0/features/models/kbqa.html) model for WikiData
- [Training interfaces](http://docs.deeppavlov.ai/en/0.10.0/features/models/kbqa.html#train-models) for KBQA models
- Refactored [goal-oriented bot](http://docs.deeppavlov.ai/en/0.10.0/features/skills/go_bot.html) architecture
- And many small improvements and fixes

- Fix requirements for ASR and TTS configs