Using DeepPavlov NLP framework as a training library
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Updated
Sep 11, 2019 - Shell
Using DeepPavlov NLP framework as a training library
Solutions of homework assignments and quizzes of DL in NLP class by DeepPavlov team in Spring 2020
Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.
Robot, performing English conversation with user. On a theme, based on user defined prompt
Wikipedia Question Answering
NN for punctuation mark placement
NER Extraction with Deeppavlov library(BERT Base model)
Natural language processing services
Service of wrapped DeepPavlov NER ML models for a quick launch for massive amount of documents in Google Colab, powered by AREkit pipelines
An answer-based search engine that delivers concise results about No Man's Sky related questions.
Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
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