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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

Showing 241250 of 1729 papers

TitleStatusHype
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NERCode0
Extracting Biomedical Entities from Noisy Audio Transcripts0
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity RecognitionCode0
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolutionCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition0
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training0
CHisIEC: An Information Extraction Corpus for Ancient Chinese HistoryCode1
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
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