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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
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution—0
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities—0
Learning Task-specific Representation for Novel Words in Sequence LabelingCode0
Neural Metric Learning for Fast End-to-End Relation Extraction—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
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
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