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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 511–520 of 1729 papers

TitleStatusHype
Fine Tuning Named Entity Extraction Models for the Fantasy Domain—0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Structured Language Generation Model for Robust Structure Prediction—0
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies—0
FaBERT: Pre-training BERT on Persian Blogs—0
Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data—0
Graph Neural Network and NER-Based Text Summarization—0
Different Tastes of Entities: Investigating Human Label Variation in Named Entity AnnotationsCode0
In-Context Learning for Few-Shot Nested Named Entity Recognition—0
NanoNER: Named Entity Recognition for nanobiology using experts' knowledge and distant supervision—0
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