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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 251–275 of 1729 papers

TitleStatusHype
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View DistillationCode0
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language ModelsCode1
Information Extraction: An application to the domain of hyper-local financial data on developing countries—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV DeliveryCode0
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia TablesCode0
Designing Informative Metrics for Few-Shot Example Selection—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language ModelsCode1
Deep Learning Based Named Entity Recognition Models for Recipes—0
Rethinking Negative Instances for Generative Named Entity RecognitionCode2
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated DataCode1
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple ApproachCode0
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition—0
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction—0
CMNER: A Chinese Multimodal NER Dataset based on Social MediaCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
Fine Tuning Named Entity Extraction Models for the Fantasy Domain—0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
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