Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
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Updated
Dec 10, 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
Natural language processing services
NER Extraction with Deeppavlov library(BERT Base model)
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
FullStak web application. File system with context search
An answer-based search engine that delivers concise results about No Man's Sky related questions.
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