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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 21–30 of 1729 papers

TitleStatusHype
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM—0
Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from PatentsCode0
Methods for Recognizing Nested TermsCode0
LLMs as Data Annotators: How Close Are We to Human Performance—0
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition—0
Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice—0
Keyword Extraction, and Aspect Classification in Sinhala, English, and Code-Mixed Content—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation—0
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition—0
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