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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 651–660 of 1729 papers

TitleStatusHype
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
CebuaNER: A New Baseline Cebuano Named Entity Recognition ModelCode0
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation CampaignCode0
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