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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 201–210 of 1729 papers

TitleStatusHype
INDUS: Effective and Efficient Language Models for Scientific Applications—0
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups—0
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity RecognitionCode0
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media—0
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage PruningCode1
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsCode0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?—0
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