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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 1581–1590 of 1729 papers

TitleStatusHype
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative LearningCode0
CharNER: Character-Level Named Entity RecognitionCode0
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity RecognitionCode0
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student EnsembleCode0
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
CebuaNER: A New Baseline Cebuano Named Entity Recognition ModelCode0
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language ModelsCode0
Analysis Of Contextual and Non-Contextual Word Embedding Models For Hindi NER With Web Application For Data CollectionCode0
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer EncodersCode0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
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