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HAlf-MAsked Model for Named Entity Sentiment analysis
Named Entity Sentiment analysis (NESA) is one of the most actively developing application domains in Natural Language Processing (NLP).
Quality and Cost Trade-offs in Passage Re-ranking Task
Deep learning models named transformers achieved state-of-the-art results in a vast majority of NLP tasks at the cost of increased computational complexity and high memory consumption.
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