Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
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Updated
Dec 21, 2024 - Python
Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
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.
Service of wrapped DeepPavlov NER ML models for a quick entities extraction from cells of long tabular data, powered by AREkit pipelines
Robot, performing English conversation with user. On a theme, based on user defined prompt
Wikipedia Question Answering
NER Extraction with Deeppavlov library(BERT Base model)
Natural language processing services
Using DeepPavlov NLP framework as a training library
NN for punctuation mark placement
Solutions of homework assignments and quizzes of DL in NLP class by DeepPavlov team in Spring 2020
An answer-based search engine that delivers concise results about No Man's Sky related questions.
FullStak web application. File system with context search
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