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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 491–500 of 1729 papers

TitleStatusHype
MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training—0
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition—0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View DistillationCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
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
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