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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 251–300 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
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language ModelsCode1
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
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
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction—0
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition—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
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Fine Tuning Named Entity Extraction Models for the Fantasy Domain—0
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies—0
Structured Language Generation Model for Robust Structure Prediction—0
FaBERT: Pre-training BERT on Persian Blogs—0
Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data—0
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity RecognitionCode1
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
Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF ModelCode0
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling TasksCode0
Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness—0
Fine-grained Contract NER using instruction based modelCode0
Multicultural Name Recognition For Previously Unseen Names—0
Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition—0
Using Large Language Model for End-to-End Chinese ASR and NER—0
Mining experimental data from Materials Science literature with Large Language Models: an evaluation studyCode0
The Radiation Oncology NLP DatabaseCode1
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study—0
Word Boundary Information Isn't Useful for Encoder Language Models—0
EMBRE: Entity-aware Masking for Biomedical Relation Extraction—0
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques—0
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionCode2
RoBERTurk: Adjusting RoBERTa for Turkish—0
Large Language Models aren't all that you need—0
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