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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 801–825 of 1729 papers

TitleStatusHype
Contextualized Word Representations from Distant Supervision with and for NER—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
Contextualized French Language Models for Biomedical Named Entity Recognition—0
HealthE: Classifying Entities in Online Textual Health Advice—0
HAREM: the first evaluation contest for Named Entity Recognition in Portuguese—0
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER—0
Contextualization and Generalization in Entity and Relation Extraction—0
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study—0
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
Handling and extracting key entities from customer conversations using Speech recognition and Named Entity recognition—0
Context-aware Fine-tuning of Self-supervised Speech Models—0
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition—0
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition—0
HFST-SweNER --- A New NER Resource for Swedish—0
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
Content-Based Features to Rank Influential Hidden Services of the Tor Darknet—0
Graph Neural Network and NER-Based Text Summarization—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
High Quality ELMo Embeddings for Seven Less-Resourced Languages—0
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models—0
An Adaptive Framework for Named Entity Combination—0
A Deep Learning approach for Hindi Named Entity Recognition—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
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