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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 1376–1400 of 1729 papers

TitleStatusHype
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries—0
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature—0
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification—0
Designing Informative Metrics for Few-Shot Example Selection—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
Development of a WAZOBIA-Named Entity Recognition System—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers—0
Dissecting Span Identification Tasks with Performance Prediction—0
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Distilling Large Language Models for Efficient Clinical Information Extraction—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data—0
Distributed Word Representations Improve NER for e-Commerce—0
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