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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 1461–1470 of 1729 papers

TitleStatusHype
BERT Rediscovers the Classical NLP PipelineCode0
A Co-guided Neural Network for Person Name Recognition in Academic Homepages—0
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model—0
Models in the Wild: On Corruption Robustness of NLP Systems—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
Personalized sentence generation using generative adversarial networks with author-specific word usage—0
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognitionCode0
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity RecognitionCode0
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