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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 … Read More

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 … Read More