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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1531–1540 of 1729 papers

TitleStatusHype
Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesCode0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
End-to-End Neural Entity LinkingCode0
Neural Named Entity Recognition from Subword Units—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Sequence Labeling: A Practical ApproachCode0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
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