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Named Entity Recognition

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TitleStatusHype
Flippi: End To End GenAI Assistant for E-Commerce—0
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language ModelsCode0
Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective—0
Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering—0
Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
Label-Guided In-Context Learning for Named Entity RecognitionCode1
Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's ZibaldoneCode0
AmpleHate: Amplifying the Attention for Versatile Implicit Hate DetectionCode0
RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models—0
FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)—0
On Multilingual Encoder Language Model Compression for Low-Resource Languages—0
Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?—0
Nested Named Entity Recognition as Single-Pass Sequence Labeling—0
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing—0
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMsCode0
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant AnnotationsCode0
Automated Detection of Clinical Entities in Lung and Breast Cancer Reports Using NLP Techniques—0
LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs—0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Development of a WAZOBIA-Named Entity Recognition System—0
A Benchmark Dataset and a Framework for Urdu Multimodal Named Entity Recognition—0
Logits-Constrained Framework with RoBERTa for Ancient Chinese NER—0
Positional Attention for Efficient BERT-Based Named Entity Recognition—0
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM—0
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