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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
Prompt-Based Metric Learning for Few-Shot NERCode1
An Ensemble-based approach for assigning text to correct Harmonized system code—0
Named Entity Recognition in Indian court judgmentsCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
Unintended Memorization and Timing Attacks in Named Entity Recognition Models—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
NERVE at ROCLING 2022 Shared Task: A Comparison of Three Named Entity Recognition Frameworks Based on Language Model and Lexicon Approach—0
RoBERTa-based Traditional Chinese Medicine Named Entity Recognition ModelCode0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
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