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Evolution Of Neural Networks for Sequence Tagging

Sequence tagging is broad research for both traditional statistical linguistics and the Machine Learning era of NLP. The roots of current Neural Sequence Tagging models come from more probabilistic models. Some of these probabilistic models use Maximum Likelihood Estimation or

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Sequence Labeling

Sequence labeling has been one of the most discussed topics in Linguistics and Computational Linguistics history. Challenges like Dependency Parsing, Word Sense Disambiguation and Sequence Labeling etc. arose with the formal definition of the syntax. Sequence labeling is a Natural

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Named Entity Recognition (NER)

Artificial Intelligence is the technology that aims to make machines have intelligence like human beings. As an Artificial Intelligence task, Natural Language Processing (NLP) aims to process, understand, and analyze natural languages by machines. A natural language is any language

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Sentiment Analysis, Use Cases and Challenges

With the rapid growth of the web and social media, access to customer reviews is much faster and easier than ever. Customer-generated content such as product reviews, social media posts, forums, blog posts, surveys, or chatbot data is just like a gold

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