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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 1001–1010 of 1729 papers

TitleStatusHype
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition—0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets—0
Language Clustering for Multilingual Named Entity Recognition—0
Towards Realistic Single-Task Continuous Learning Research for NERCode0
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair PredictionCode0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
Learning Rich Representation of Keyphrases from Text—0
Named Entity Recognition in Unstructured Medical Text Documents—0
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