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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 1451–1475 of 1729 papers

TitleStatusHype
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task—0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
Distantly Supervised Named Entity Recognition using Positive-Unlabeled LearningCode0
NNE: A Dataset for Nested Named Entity Recognition in English Newswire—0
Pooled Contextualized Embeddings for Named Entity Recognition—0
Better Modeling of Incomplete Annotations for Named Entity Recognition—0
Audio De-identification - a New Entity Recognition Task—0
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers—0
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
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
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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