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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 571–580 of 1729 papers

TitleStatusHype
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity RecognitionCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing Deep Learning with Embedded Features for Arabic Named Entity RecognitionCode0
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