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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 791–800 of 1729 papers

TitleStatusHype
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
GottBERT: a pure German Language Model—0
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
Annotated Job Ads with Named Entity Recognition—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
BioMNER: A Dataset for Biomedical Method Entity Recognition—0
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