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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 641–650 of 1729 papers

TitleStatusHype
Distantly Supervised Named Entity Recognition using Positive-Unlabeled LearningCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
BERT Rediscovers the Classical NLP PipelineCode0
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials LiteratureCode0
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV DeliveryCode0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
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