2018
DOI: 10.1016/j.cosrev.2018.06.001
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Recent Named Entity Recognition and Classification techniques: A systematic review

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Cited by 212 publications
(115 citation statements)
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References 77 publications
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“…The key goal of an unsupervised learning method is to produce a model that fully captures the distributional and structural features of the data to achieve better learning (Goyal et al, 2018). These systems/methods apply only unlabeled data for decision making.…”
Section: Unsupervised Learningmentioning
confidence: 99%
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“…The key goal of an unsupervised learning method is to produce a model that fully captures the distributional and structural features of the data to achieve better learning (Goyal et al, 2018). These systems/methods apply only unlabeled data for decision making.…”
Section: Unsupervised Learningmentioning
confidence: 99%
“…These systems/methods apply only unlabeled data for decision making. The key goal of an unsupervised learning method is to produce a model that fully captures the distributional and structural features of the data to achieve better learning (Goyal et al, 2018).…”
Section: Unsupervised Learningmentioning
confidence: 99%
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“…Supervised learning has been extensively used in extensive research works for NER [45][46][47][48] as an alternative to classic adaptations of probabilistic language models, such as conditional random fields and hidden Markov models. In this section, we present an algorithm based on random forests to create a classification model to address the sensor design.…”
Section: Supervised Learningmentioning
confidence: 99%